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Choose the options that would create a true statement. In this study, there                             [ Select ]                          ["was no", "was"]            replication, and there                             [ Select ]                          ["was no", "was a"]            balanced design.

Choose the options that would create a true statement. In this study, there                             [ Select ]                          ["was no", "was"]            replication, and there                             [ Select ]                          ["was no", "was a"]            balanced design.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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Choose the options that would create a true statement.

In this study, there                             [ Select ]                          ["was no", "was"]            replication, and there                             [ Select ]                          ["was no", "was a"]            balanced design.

Data from "Statistics For Experimenters" by Box Hunter Hunter, 1978. The data “... appear in a paper by Box and Cox (1964). These are survival times of groups of four animals randomly allocated to three poisons and four treatments. The experiment was part of an investigation to combat the effects of certain toxic agents. This arrangement is called a 3 x 4 factorial design and is replicated four times." The aim here is to see how the different poisons and medications affect survival times. Survival time is measured in ten-hours. Use the information provided below to answer the SURVIVAL TIMES questions that follow. Two-way Anova: SURVIVAL TIMES (DATA) MEDICATIONS D Means 0.31 0.82 0.43 0.45 0.45 1.1 0.45 0.71 0.6175 0.46 0.88 0.63 0.66 0.43 0.72 0.76 0.62 0.36 0.92 0.44 0.56 0.29 0.61 0.35 1.02 II 0.5444 0.4 0.49 0.31 0.71 0.23 1.24 0.4 0.38 0.22 0.3 0.23 0.3 0.21 0.37 0.25 0.36 II 0.2763 0.18 0.38 0.24 0.31 0.23 0.29 0.22 0.33 Means 0.3142 0.6767 0.3925 0.5342 0.4794 SNOSIOD
Transcribed Image Text:Data from "Statistics For Experimenters" by Box Hunter Hunter, 1978. The data “... appear in a paper by Box and Cox (1964). These are survival times of groups of four animals randomly allocated to three poisons and four treatments. The experiment was part of an investigation to combat the effects of certain toxic agents. This arrangement is called a 3 x 4 factorial design and is replicated four times." The aim here is to see how the different poisons and medications affect survival times. Survival time is measured in ten-hours. Use the information provided below to answer the SURVIVAL TIMES questions that follow. Two-way Anova: SURVIVAL TIMES (DATA) MEDICATIONS D Means 0.31 0.82 0.43 0.45 0.45 1.1 0.45 0.71 0.6175 0.46 0.88 0.63 0.66 0.43 0.72 0.76 0.62 0.36 0.92 0.44 0.56 0.29 0.61 0.35 1.02 II 0.5444 0.4 0.49 0.31 0.71 0.23 1.24 0.4 0.38 0.22 0.3 0.23 0.3 0.21 0.37 0.25 0.36 II 0.2763 0.18 0.38 0.24 0.31 0.23 0.29 0.22 0.33 Means 0.3142 0.6767 0.3925 0.5342 0.4794 SNOSIOD
Two-way Anova: SURVIVAL TIMES (EXCEL OUTPUT) Anova: Two-Factor SUMMARY A B Total Count 4 4 4 4 16 Sum 1.65 3.52 2.27 2.44 9.88 Average 0.4125 0.88 0.5675 0.61 0.6175 Variance 0.004825 0.02586667 0.02455833 0.01273333 0.04386 Count 4 4 4 4 16 Sum 1.28 3.26 1.5 2.67 8.71 Average 0.32 0.815 0.375 0.6675 0.544375 Variance 0.00566667 0.1131 0.00323333 0.073425 0.08373292 Count 4 4 4 16 Sum 0.84 1.34 0.94 1.3 4.42 Average 0.21 0.335 0.235 0.325 0.27625 Variance 0.00046667 0.00216667 0.00016667 0.0007 0.00387833 Total Count 12 12 12 12 Sum 3.77 8.12 4.71 6.41 Average 0.31416667 0.67666667 0.3925 0.53416667 Variance 0.01046288 0.10293333 0.02789318 0.04815379 ANOVA Source of Variation S df MS F P-value F crit Sample 1.0330125 0.51650625 2 23.2217366 3.3314E-07 3.259446306 Columns 0.92120625 3 0.30706875 13.8055824 3.7773E-06 2.866265557 Interaction 0.2501375 0.04168958 1.87433264 0.11225061 2.363750958 Within 0.800725 36 0.02224236 Total 3.00508125 47
Transcribed Image Text:Two-way Anova: SURVIVAL TIMES (EXCEL OUTPUT) Anova: Two-Factor SUMMARY A B Total Count 4 4 4 4 16 Sum 1.65 3.52 2.27 2.44 9.88 Average 0.4125 0.88 0.5675 0.61 0.6175 Variance 0.004825 0.02586667 0.02455833 0.01273333 0.04386 Count 4 4 4 4 16 Sum 1.28 3.26 1.5 2.67 8.71 Average 0.32 0.815 0.375 0.6675 0.544375 Variance 0.00566667 0.1131 0.00323333 0.073425 0.08373292 Count 4 4 4 16 Sum 0.84 1.34 0.94 1.3 4.42 Average 0.21 0.335 0.235 0.325 0.27625 Variance 0.00046667 0.00216667 0.00016667 0.0007 0.00387833 Total Count 12 12 12 12 Sum 3.77 8.12 4.71 6.41 Average 0.31416667 0.67666667 0.3925 0.53416667 Variance 0.01046288 0.10293333 0.02789318 0.04815379 ANOVA Source of Variation S df MS F P-value F crit Sample 1.0330125 0.51650625 2 23.2217366 3.3314E-07 3.259446306 Columns 0.92120625 3 0.30706875 13.8055824 3.7773E-06 2.866265557 Interaction 0.2501375 0.04168958 1.87433264 0.11225061 2.363750958 Within 0.800725 36 0.02224236 Total 3.00508125 47
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