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                           <rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design without Replications Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu" xmpDM:startTime="0" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="These slides are available on-line at: http://www.cse.wustl.edu/~jain/cse567-17/" xmpDM:startTime="0" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="0" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Overview Computation of Effects Estimating Experimental Errors Allocation of Variation ANOVA Table Visual Tests Confidence Intervals For Effects Multiplicative Models" xmpDM:startTime="19367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations" xmpDM:startTime="19367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design Used when there are two parameters that are carefully controlled Examples: To compare several processors" xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="using several workloads." xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="To determining two configuration parameters, such as cache and memory sizes Assumes that the factors are categorical." xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="For quantitative factors, use a regression model." xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="A full factorial design with two factors A and B having a and b levels requires ab experiments." xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="First consider the case where each experiment is conducted only once." xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="20200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Overview Computation of Effects Estimating Experimental Errors Allocation of Variation ANOVA Table Visual Tests Confidence Intervals For Effects Multiplicative Models" xmpDM:startTime="22300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations" xmpDM:startTime="22300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design Used when there are two parameters that are carefully controlled Examples: To compare several processors" xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="using several workloads." xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="To determining two configuration parameters, such as cache and memory sizes Assumes that the factors are categorical." xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="For quantitative factors, use a regression model." xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="A full factorial design with two factors A and B having a and b levels requires ab experiments." xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="First consider the case where each experiment is conducted only once." xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="23633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model TP_tmp" xmpDM:startTime="84533" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects Averaging the jth column produces: Since the last two terms are zero, we have: Similarly, averaging along" xmpDM:startTime="107400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="rows produces: Averaging all observations produces Model parameters estimates are: Easily computed using a tabular arrangement." xmpDM:startTime="107400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="107400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1:" xmpDM:startTime="111700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison TP_tmp" xmpDM:startTime="111700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1:" xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects An average workload on an average processor requires 72.2" xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms of processor time." xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The time with two caches is 21.2" xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms lower than that on an average processor The time with one cache is 20.2" xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms lower than that on an average processor." xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The time without a cache is 41.4" xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average TP_tmp" xmpDM:startTime="164133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1:" xmpDM:startTime="343900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison TP_tmp" xmpDM:startTime="343900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects Averaging the jth column produces: Since the last two terms are zero, we have: Similarly, averaging along" xmpDM:startTime="344267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="rows produces: Averaging all observations produces Model parameters estimates are: Easily computed using a tabular arrangement." xmpDM:startTime="344267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="344267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model TP_tmp" xmpDM:startTime="344700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design Used when there are two parameters that are carefully controlled Examples: To compare several processors" xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="using several workloads." xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="To determining two configuration parameters, such as cache and memory sizes Assumes that the factors are categorical." xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="For quantitative factors, use a regression model." xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="A full factorial design with two factors A and B having a and b levels requires ab experiments." xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="First consider the case where each experiment is conducted only once." xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="345267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model TP_tmp" xmpDM:startTime="346267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects Averaging the jth column produces: Since the last two terms are zero, we have: Similarly, averaging along" xmpDM:startTime="346867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="rows produces: Averaging all observations produces Model parameters estimates are: Easily computed using a tabular arrangement." xmpDM:startTime="346867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="346867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1:" xmpDM:startTime="393567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison TP_tmp" xmpDM:startTime="393567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1:" xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects An average workload on an average processor requires 72.2" xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms of processor time." xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The time with two caches is 21.2" xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms lower than that on an average processor The time with one cache is 20.2" xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms lower than that on an average processor." xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The time without a cache is 41.4" xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average TP_tmp" xmpDM:startTime="394467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1" xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Two-cache - One-cache = 1 ms." xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="One-cache - No-cache = 41.4+20.2" xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="or 61.6" xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms." xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The workloads also affect the processor time required." xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The ASM workload takes 0.5" xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms less than the average." xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TECO takes 8.8" xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average." xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="395100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors Estimated response: Experimental error: Sum of squared errors (SSE): Example: The estimated processor time is: Error =" xmpDM:startTime="397600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Measured-Estimated = 54-50.5" xmpDM:startTime="397600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="= 3.5" xmpDM:startTime="397600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="397600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1" xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Two-cache - One-cache = 1 ms." xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="One-cache - No-cache = 41.4+20.2" xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="or 61.6" xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms." xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The workloads also affect the processor time required." xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The ASM workload takes 0.5" xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms less than the average." xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TECO takes 8.8" xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average." xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="398900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors Estimated response: Experimental error: Sum of squared errors (SSE): Example: The estimated processor time is: Error =" xmpDM:startTime="443467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Measured-Estimated = 54-50.5" xmpDM:startTime="443467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="= 3.5" xmpDM:startTime="443467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="443467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="454800" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="454800" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="458467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="458467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="458467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance Degrees of freedoms: Mean squares: Computed ratio &gt; F[1- a;a-1,(a-1)(b-1)] ) A is significant at level a." xmpDM:startTime="459267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="459267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="460633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="460633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="460633" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="461100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="461100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors Estimated response: Experimental error: Sum of squared errors (SSE): Example: The estimated processor time is: Error =" xmpDM:startTime="461933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Measured-Estimated = 54-50.5" xmpDM:startTime="461933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="= 3.5" xmpDM:startTime="461933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="461933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="463200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="463200" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="576833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="576833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="576833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="606367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="606367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="608233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="608233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="608233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="642333" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="642333" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="729367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="729367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="729367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance Degrees of freedoms: Mean squares: Computed ratio &gt; F[1- a;a-1,(a-1)(b-1)] ) A is significant at level a." xmpDM:startTime="733300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="733300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ANOVA Table TP_tmp" xmpDM:startTime="734667" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.3:" xmpDM:startTime="800600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison Cache choice significant." xmpDM:startTime="800600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Workloads insignificant TP_tmp" xmpDM:startTime="800600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ANOVA Table TP_tmp" xmpDM:startTime="825867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance Degrees of freedoms: Mean squares: Computed ratio &gt; F[1- a;a-1,(a-1)(b-1)] ) A is significant at level a." xmpDM:startTime="826333" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="826333" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="826833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="826833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="826833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="827367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="827367" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors Estimated response: Experimental error: Sum of squared errors (SSE): Example: The estimated processor time is: Error =" xmpDM:startTime="827900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Measured-Estimated = 54-50.5" xmpDM:startTime="827900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="= 3.5" xmpDM:startTime="827900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="827900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1" xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Two-cache - One-cache = 1 ms." xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="One-cache - No-cache = 41.4+20.2" xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="or 61.6" xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms." xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The workloads also affect the processor time required." xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The ASM workload takes 0.5" xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms less than the average." xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TECO takes 8.8" xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average." xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="828467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1:" xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects An average workload on an average processor requires 72.2" xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms of processor time." xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The time with two caches is 21.2" xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms lower than that on an average processor The time with one cache is 20.2" xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms lower than that on an average processor." xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The time without a cache is 41.4" xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average TP_tmp" xmpDM:startTime="828967" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1" xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Two-cache - One-cache = 1 ms." xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="One-cache - No-cache = 41.4+20.2" xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="or 61.6" xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms." xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The workloads also affect the processor time required." xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The ASM workload takes 0.5" xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms less than the average." xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TECO takes 8.8" xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ms higher than the average." xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="846167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors Estimated response: Experimental error: Sum of squared errors (SSE): Example: The estimated processor time is: Error =" xmpDM:startTime="846933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Measured-Estimated = 54-50.5" xmpDM:startTime="846933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="= 3.5" xmpDM:startTime="846933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="846933" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="847467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Error Computation The sum of squared errors is: TP_tmp TP_tmp" xmpDM:startTime="847467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2:" xmpDM:startTime="848400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Allocation of Variation Squaring the model equation: High percent variation explained  Cache choice important in processor design." xmpDM:startTime="848400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="848400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance Degrees of freedoms: Mean squares: Computed ratio &gt; F[1- a;a-1,(a-1)(b-1)] ) A is significant at level a." xmpDM:startTime="848900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp" xmpDM:startTime="848900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ANOVA Table TP_tmp" xmpDM:startTime="849400" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.3:" xmpDM:startTime="858100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison Cache choice significant." xmpDM:startTime="858100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Workloads insignificant TP_tmp" xmpDM:startTime="858100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.4:" xmpDM:startTime="959700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Visual Tests chp_21_01 chp_21_02" xmpDM:startTime="959700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence Intervals For Effects For confidence intervals use t values at (a-1)(b-1) degrees of freedom TP_tmp" xmpDM:startTime="960133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5:" xmpDM:startTime="976100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison Standard deviation of errors: Standard deviation of the grand mean: Standard deviation of aj's: Standard deviation of bi's:" xmpDM:startTime="976100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="976100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5" xmpDM:startTime="995300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Degrees of freedom for the errors are (a-1)(b-1)=8." xmpDM:startTime="995300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="For 90% confidence interval, t[0.95;8]=" xmpDM:startTime="995300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="1.86." xmpDM:startTime="995300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence interval for the grand mean: All three cache alternatives are significantly different from the average." xmpDM:startTime="995300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="995300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5" xmpDM:startTime="1016067" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) All workloads, except TECO, are similar to the average and hence to each other." xmpDM:startTime="1016067" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1016067" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5:" xmpDM:startTime="1031233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="CI for Differences Two-cache and one-cache alternatives are both significantly better than a no cache alternative." xmpDM:startTime="1031233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="There is no significant difference between two-cache and one-cache alternatives." xmpDM:startTime="1031233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1031233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models Additive model: If factors multiply  Use multiplicative model Example: processors and workloads Log of response follows an" xmpDM:startTime="1061867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="additive model If the spread in the residuals increases with the mean response  Use transformation TP_tmp" xmpDM:startTime="1061867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations Recommended Method: Divide the sums by respective number of observations Adjust the degrees of freedoms of sums of" xmpDM:startTime="1106867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="squares Adjust formulas for standard deviations of effects Other Alternatives: Replace the missing value by such that the residual for" xmpDM:startTime="1106867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="the missing experiment is zero." xmpDM:startTime="1106867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Use y such that SSE is minimum." xmpDM:startTime="1106867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1106867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models Additive model: If factors multiply  Use multiplicative model Example: processors and workloads Log of response follows an" xmpDM:startTime="1110467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="additive model If the spread in the residuals increases with the mean response  Use transformation TP_tmp" xmpDM:startTime="1110467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations Recommended Method: Divide the sums by respective number of observations Adjust the degrees of freedoms of sums of" xmpDM:startTime="1158567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="squares Adjust formulas for standard deviations of effects Other Alternatives: Replace the missing value by such that the residual for" xmpDM:startTime="1158567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="the missing experiment is zero." xmpDM:startTime="1158567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Use y such that SSE is minimum." xmpDM:startTime="1158567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1158567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary Two Factor Designs Without Replications Model: Effects are computed so that: Effects: TP_tmp TP_tmp TP_tmp" xmpDM:startTime="1226133" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont) Allocation of variation: SSE can be calculated after computing other terms below Mean squares: Analysis of variance: TP_tmp" xmpDM:startTime="1274467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="1274467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont) Standard deviation of effects: Contrasts: All confidence intervals are calculated using t[1-a/2;(a-1)(b-1)]." xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model assumptions: Errors are IID normal variates with zero mean." xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Errors have the same variance for all factor levels." xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The effects of various factors and errors are additive." xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Visual tests: No trend in scatter plot of errors versus predicted responses The normal quantile-quantile plot of errors should be" xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="linear." xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="1282000" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Homework 21: Exercise 21.1" xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analyze the data of Case study 21.2" xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="using a 2-factor additive model." xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimate effects and prepare ANOVA table Plot residuals as a function of predicted response." xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Also, plot a normal quantile-quantile plot for the residuals." xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Determine 90% confidence intervals for the paired differences." xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Confidence intervals of a1-a2, a1-a3, a2-a3) Are the processors significantly different? Discuss what indicators in the data, analysis, or plot" xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="would suggest that this is not a good model." xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1305700" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Scan This to Download These Slides thankyou Raj Jain http://rajjain.com" xmpDM:startTime="1338233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="" xmpDM:startTime="1338233" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Homework 21: Exercise 21.1" xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analyze the data of Case study 21.2" xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="using a 2-factor additive model." xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimate effects and prepare ANOVA table Plot residuals as a function of predicted response." xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Also, plot a normal quantile-quantile plot for the residuals." xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Determine 90% confidence intervals for the paired differences." xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Confidence intervals of a1-a2, a1-a3, a2-a3) Are the processors significantly different? Discuss what indicators in the data, analysis, or plot" xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="would suggest that this is not a good model." xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1339467" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont) Standard deviation of effects: Contrasts: All confidence intervals are calculated using t[1-a/2;(a-1)(b-1)]." xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model assumptions: Errors are IID normal variates with zero mean." xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Errors have the same variance for all factor levels." xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="The effects of various factors and errors are additive." xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Visual tests: No trend in scatter plot of errors versus predicted responses The normal quantile-quantile plot of errors should be" xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="linear." xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="1346900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont) Allocation of variation: SSE can be calculated after computing other terms below Mean squares: Analysis of variance: TP_tmp" xmpDM:startTime="1347100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="1347100" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary Two Factor Designs Without Replications Model: Effects are computed so that: Effects: TP_tmp TP_tmp TP_tmp" xmpDM:startTime="1347267" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations Recommended Method: Divide the sums by respective number of observations Adjust the degrees of freedoms of sums of" xmpDM:startTime="1347433" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="squares Adjust formulas for standard deviations of effects Other Alternatives: Replace the missing value by such that the residual for" xmpDM:startTime="1347433" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="the missing experiment is zero." xmpDM:startTime="1347433" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Use y such that SSE is minimum." xmpDM:startTime="1347433" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1347433" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models Additive model: If factors multiply  Use multiplicative model Example: processors and workloads Log of response follows an" xmpDM:startTime="1347600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="additive model If the spread in the residuals increases with the mean response  Use transformation TP_tmp" xmpDM:startTime="1347600" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5:" xmpDM:startTime="1347767" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="CI for Differences Two-cache and one-cache alternatives are both significantly better than a no cache alternative." xmpDM:startTime="1347767" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="There is no significant difference between two-cache and one-cache alternatives." xmpDM:startTime="1347767" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1347767" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5" xmpDM:startTime="1361167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) All workloads, except TECO, are similar to the average and hence to each other." xmpDM:startTime="1361167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1361167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5" xmpDM:startTime="1361833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Degrees of freedom for the errors are (a-1)(b-1)=8." xmpDM:startTime="1361833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="For 90% confidence interval, t[0.95;8]=" xmpDM:startTime="1361833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="1.86." xmpDM:startTime="1361833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence interval for the grand mean: All three cache alternatives are significantly different from the average." xmpDM:startTime="1361833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="1361833" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5:" xmpDM:startTime="1362500" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison Standard deviation of errors: Standard deviation of the grand mean: Standard deviation of aj's: Standard deviation of bi's:" xmpDM:startTime="1362500" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="1362500" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence Intervals For Effects For confidence intervals use t values at (a-1)(b-1) degrees of freedom TP_tmp" xmpDM:startTime="1364167" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5:" xmpDM:startTime="1441033" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Cache Comparison Standard deviation of errors: Standard deviation of the grand mean: Standard deviation of aj's: Standard deviation of bi's:" xmpDM:startTime="1441033" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp TP_tmp TP_tmp" xmpDM:startTime="1441033" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5" xmpDM:startTime="1441300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) Degrees of freedom for the errors are (a-1)(b-1)=8." xmpDM:startTime="1441300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="For 90% confidence interval, t[0.95;8]=" xmpDM:startTime="1441300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="1.86." xmpDM:startTime="1441300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence interval for the grand mean: All three cache alternatives are significantly different from the average." xmpDM:startTime="1441300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp TP_tmp" xmpDM:startTime="1441300" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5" xmpDM:startTime="1441567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="(Cont) All workloads, except TECO, are similar to the average and hence to each other." xmpDM:startTime="1441567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1441567" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5:" xmpDM:startTime="1441867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="CI for Differences Two-cache and one-cache alternatives are both significantly better than a no cache alternative." xmpDM:startTime="1441867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="There is no significant difference between two-cache and one-cache alternatives." xmpDM:startTime="1441867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="TP_tmp" xmpDM:startTime="1441867" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models Additive model: If factors multiply  Use multiplicative model Example: processors and workloads Log of response follows an" xmpDM:startTime="1523900" xmpDM:duration="1000"/></rdf:li><rdf:li><rdf:Description xmpDM:name="additive model If the spread in the residuals increases with the mean response  Use transformation TP_tmp" xmpDM:startTime="1523900" xmpDM:duration="1000"/></rdf:li></rdf:Seq>
                     </xmpDM:markers>
                  </rdf:Description>
               </rdf:li>
               <rdf:li>
                  <rdf:Description xmpDM:trackType="TableOfContents" xmpDM:frameRate="f1000" xmpDM:trackName="Table of Contents">
                     <xmpDM:markers>
                        <rdf:Seq>
                           <rdf:li><rdf:Description xmpDM:name="Two Factors  Full Factorial Design without Replications" xmpDM:startTime="0" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="0" tscDM:imageoffset="0" tscDM:imagerect="0, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Overview" xmpDM:startTime="19367" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="1" tscDM:imageoffset="0" tscDM:imagerect="75, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design" xmpDM:startTime="20200" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="2" tscDM:imageoffset="0" tscDM:imagerect="150, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Overview" xmpDM:startTime="22300" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="3" tscDM:imageoffset="0" tscDM:imagerect="225, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design" xmpDM:startTime="23633" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="4" tscDM:imageoffset="0" tscDM:imagerect="300, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model" xmpDM:startTime="84533" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="5" tscDM:imageoffset="0" tscDM:imagerect="375, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects" xmpDM:startTime="107400" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="6" tscDM:imageoffset="0" tscDM:imagerect="450, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1: Cache Comparison" xmpDM:startTime="111700" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="7" tscDM:imageoffset="0" tscDM:imagerect="525, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1: Computation of Effects" xmpDM:startTime="164133" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="8" tscDM:imageoffset="0" tscDM:imagerect="600, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1: Cache Comparison" xmpDM:startTime="343900" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="9" tscDM:imageoffset="0" tscDM:imagerect="675, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects" xmpDM:startTime="344267" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="10" tscDM:imageoffset="0" tscDM:imagerect="750, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model" xmpDM:startTime="344700" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="11" tscDM:imageoffset="0" tscDM:imagerect="825, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Two Factors Full Factorial Design" xmpDM:startTime="345267" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="12" tscDM:imageoffset="0" tscDM:imagerect="900, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Model" xmpDM:startTime="346267" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="13" tscDM:imageoffset="0" tscDM:imagerect="975, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Computation of Effects" xmpDM:startTime="346867" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="14" tscDM:imageoffset="0" tscDM:imagerect="1050, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1: Cache Comparison" xmpDM:startTime="393567" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="15" tscDM:imageoffset="0" tscDM:imagerect="1125, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1: Computation of Effects" xmpDM:startTime="394467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="16" tscDM:imageoffset="0" tscDM:imagerect="1200, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1 (Cont)" xmpDM:startTime="395100" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="17" tscDM:imageoffset="0" tscDM:imagerect="1275, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors" xmpDM:startTime="397600" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="18" tscDM:imageoffset="0" tscDM:imagerect="1350, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1 (Cont)" xmpDM:startTime="398900" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="19" tscDM:imageoffset="0" tscDM:imagerect="1425, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors" xmpDM:startTime="443467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="20" tscDM:imageoffset="0" tscDM:imagerect="1500, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="454800" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="21" tscDM:imageoffset="0" tscDM:imagerect="1575, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="458467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="22" tscDM:imageoffset="0" tscDM:imagerect="1650, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance" xmpDM:startTime="459267" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="23" tscDM:imageoffset="0" tscDM:imagerect="1725, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="460633" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="24" tscDM:imageoffset="0" tscDM:imagerect="1800, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="461100" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="25" tscDM:imageoffset="0" tscDM:imagerect="1875, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors" xmpDM:startTime="461933" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="26" tscDM:imageoffset="0" tscDM:imagerect="1950, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="463200" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="27" tscDM:imageoffset="0" tscDM:imagerect="2025, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="576833" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="28" tscDM:imageoffset="0" tscDM:imagerect="2100, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="606367" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="29" tscDM:imageoffset="0" tscDM:imagerect="2175, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="608233" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="30" tscDM:imageoffset="0" tscDM:imagerect="2250, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="642333" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="31" tscDM:imageoffset="0" tscDM:imagerect="2325, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="729367" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="32" tscDM:imageoffset="0" tscDM:imagerect="2400, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance" xmpDM:startTime="733300" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="33" tscDM:imageoffset="0" tscDM:imagerect="2475, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ANOVA Table" xmpDM:startTime="734667" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="34" tscDM:imageoffset="0" tscDM:imagerect="2550, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.3: Cache Comparison" xmpDM:startTime="800600" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="35" tscDM:imageoffset="0" tscDM:imagerect="2625, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ANOVA Table" xmpDM:startTime="825867" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="36" tscDM:imageoffset="0" tscDM:imagerect="2700, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance" xmpDM:startTime="826333" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="37" tscDM:imageoffset="0" tscDM:imagerect="2775, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="826833" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="38" tscDM:imageoffset="0" tscDM:imagerect="2850, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="827367" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="39" tscDM:imageoffset="0" tscDM:imagerect="2925, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors" xmpDM:startTime="827900" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="40" tscDM:imageoffset="0" tscDM:imagerect="3000, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1 (Cont)" xmpDM:startTime="828467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="41" tscDM:imageoffset="0" tscDM:imagerect="3075, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1: Computation of Effects" xmpDM:startTime="828967" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="42" tscDM:imageoffset="0" tscDM:imagerect="3150, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.1 (Cont)" xmpDM:startTime="846167" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="43" tscDM:imageoffset="0" tscDM:imagerect="3225, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Estimating Experimental Errors" xmpDM:startTime="846933" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="44" tscDM:imageoffset="0" tscDM:imagerect="3300, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Error Computation" xmpDM:startTime="847467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="45" tscDM:imageoffset="0" tscDM:imagerect="3375, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.2: Allocation of Variation" xmpDM:startTime="848400" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="46" tscDM:imageoffset="0" tscDM:imagerect="3450, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Analysis of Variance" xmpDM:startTime="848900" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="47" tscDM:imageoffset="0" tscDM:imagerect="3525, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="ANOVA Table" xmpDM:startTime="849400" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="48" tscDM:imageoffset="0" tscDM:imagerect="3600, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.3: Cache Comparison" xmpDM:startTime="858100" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="49" tscDM:imageoffset="0" tscDM:imagerect="3675, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.4: Visual Tests" xmpDM:startTime="959700" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="50" tscDM:imageoffset="0" tscDM:imagerect="3750, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence Intervals For Effects" xmpDM:startTime="960133" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="51" tscDM:imageoffset="0" tscDM:imagerect="3825, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5: Cache Comparison" xmpDM:startTime="976100" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="52" tscDM:imageoffset="0" tscDM:imagerect="3900, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5 (Cont)" xmpDM:startTime="995300" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="53" tscDM:imageoffset="0" tscDM:imagerect="3975, 0, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5 (Cont)" xmpDM:startTime="1016067" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="54" tscDM:imageoffset="0" tscDM:imagerect="50, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5: CI for Differences" xmpDM:startTime="1031233" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="55" tscDM:imageoffset="0" tscDM:imagerect="125, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models" xmpDM:startTime="1061867" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="56" tscDM:imageoffset="0" tscDM:imagerect="200, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations" xmpDM:startTime="1106867" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="57" tscDM:imageoffset="0" tscDM:imagerect="275, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models" xmpDM:startTime="1110467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="58" tscDM:imageoffset="0" tscDM:imagerect="350, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations" xmpDM:startTime="1158567" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="59" tscDM:imageoffset="0" tscDM:imagerect="425, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary" xmpDM:startTime="1226133" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="60" tscDM:imageoffset="0" tscDM:imagerect="500, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont)" xmpDM:startTime="1274467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="61" tscDM:imageoffset="0" tscDM:imagerect="575, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont)" xmpDM:startTime="1282000" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="62" tscDM:imageoffset="0" tscDM:imagerect="650, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Homework 21: Exercise 21.1" xmpDM:startTime="1305700" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="63" tscDM:imageoffset="0" tscDM:imagerect="725, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Scan This to Download These Slides" xmpDM:startTime="1338233" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="64" tscDM:imageoffset="0" tscDM:imagerect="800, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Homework 21: Exercise 21.1" xmpDM:startTime="1339467" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="65" tscDM:imageoffset="0" tscDM:imagerect="875, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont)" xmpDM:startTime="1346900" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="66" tscDM:imageoffset="0" tscDM:imagerect="950, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary (Cont)" xmpDM:startTime="1347100" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="67" tscDM:imageoffset="0" tscDM:imagerect="1025, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Summary" xmpDM:startTime="1347267" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="68" tscDM:imageoffset="0" tscDM:imagerect="1100, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Missing Observations" xmpDM:startTime="1347433" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="69" tscDM:imageoffset="0" tscDM:imagerect="1175, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models" xmpDM:startTime="1347600" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="70" tscDM:imageoffset="0" tscDM:imagerect="1250, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5: CI for Differences" xmpDM:startTime="1347767" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="71" tscDM:imageoffset="0" tscDM:imagerect="1325, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5 (Cont)" xmpDM:startTime="1361167" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="72" tscDM:imageoffset="0" tscDM:imagerect="1400, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5 (Cont)" xmpDM:startTime="1361833" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="73" tscDM:imageoffset="0" tscDM:imagerect="1475, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5: Cache Comparison" xmpDM:startTime="1362500" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="74" tscDM:imageoffset="0" tscDM:imagerect="1550, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Confidence Intervals For Effects" xmpDM:startTime="1364167" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="75" tscDM:imageoffset="0" tscDM:imagerect="1625, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5: Cache Comparison" xmpDM:startTime="1441033" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="76" tscDM:imageoffset="0" tscDM:imagerect="1700, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5 (Cont)" xmpDM:startTime="1441300" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="77" tscDM:imageoffset="0" tscDM:imagerect="1775, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5 (Cont)" xmpDM:startTime="1441567" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="78" tscDM:imageoffset="0" tscDM:imagerect="1850, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Example 21.5: CI for Differences" xmpDM:startTime="1441867" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="79" tscDM:imageoffset="0" tscDM:imagerect="1925, 56, 75, 56"/></rdf:li><rdf:li><rdf:Description xmpDM:name="Multiplicative Models" xmpDM:startTime="1523900" tscDM:image="k_21ffd_Thumbnails.png" tscDM:imageindex="80" tscDM:imageoffset="0" tscDM:imagerect="2000, 56, 75, 56"/></rdf:li></rdf:Seq>
                     </xmpDM:markers>
                  </rdf:Description>
               </rdf:li>
            </rdf:Bag>
         </xmpDM:Tracks>
         <tscDM:controller>
            <rdf:Description xmpDM:name="tscplayer">
               <tscDM:parameters>
                  <rdf:Bag>
                     <rdf:li xmpDM:name="autohide" xmpDM:value="true"/><rdf:li xmpDM:name="autoplay" xmpDM:value="false"/><rdf:li xmpDM:name="loop" xmpDM:value="false"/><rdf:li xmpDM:name="searchable" xmpDM:value="true"/><rdf:li xmpDM:name="captionsenabled" xmpDM:value="false"/><rdf:li xmpDM:name="sidebarenabled" xmpDM:value="false"/><rdf:li xmpDM:name="unicodeenabled" xmpDM:value="false"/><rdf:li xmpDM:name="backgroundcolor" xmpDM:value="000000"/><rdf:li xmpDM:name="sidebarlocation" xmpDM:value="left"/><rdf:li xmpDM:name="endaction" xmpDM:value="stop"/><rdf:li xmpDM:name="endactionparam" xmpDM:value="true"/><rdf:li xmpDM:name="locale" xmpDM:value="en-US"/></rdf:Bag>
               </tscDM:parameters>
               <tscDM:controllerText>
                  <rdf:Bag>
                  </rdf:Bag>
               </tscDM:controllerText>
            </rdf:Description>
         </tscDM:controller>
         <tscDM:contentList>
            <rdf:Description>
               <tscDM:files>
                  <rdf:Seq>
                     <rdf:li xmpDM:name="0" xmpDM:value="k_21ffd.mp4"/><rdf:li xmpDM:name="1" xmpDM:value="k_21ffd_First_Frame.png"/><rdf:li xmpDM:name="2" xmpDM:value="k_21ffd_Thumbnails.png"/></rdf:Seq>
               </tscDM:files>
            </rdf:Description>
         </tscDM:contentList>
      </rdf:Description>
   </rdf:RDF>
</x:xmpmeta>