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The article "Compression of Single-Wall Corrugated Shipping Containers Using Fixed and Floating Test Platens" (J. Testing and Evaluation, 1992: 318-320) describes an experiment in which several different types of boxes were compared with respect to compression strength (lb). The following STATISTICA output displays the data for each of four box types: W, X, Y, and Z. The data represent independent random samples from each box type

The article "Compression of Single-Wall Corrugated Shipping Containers Using Fixed and Floating Test Platens" (J. Testing and Evaluation, 1992: 318-320) describes an experiment in which several different types of boxes were compared with respect to compression strength (lb). The following STATISTICA output displays the data for each of four box types: W, X, Y, and Z. The data represent independent random samples from each box type

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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S us The article "Compression of Single-Wall Corrugated Shipping Containers Using Fixed and Floating Test Platens" (J. Testing and Evaluation, 1992: 318-320) describes an experiment in which several different types of boxes were compared with respect to compression strength (lb). The following STATISTICA output displays the data for each of four box types: W, X, Y, and Z. The data represent independent random samples from each box type population. Since the sample sizes are all equal, this one-way ANOVA is considered a balanced design. They decide to make up six test specimens for each box type. All 24 specimens are tested on a laboratory compression strength tester in random order. Effect Total box type box type box type box type Descriptive Statistics (Spreadsheet1) Level of N Factor W 4999 24 6 strength strength Mean Std Dev. 682.5083 83.71308 713.0000 46.55053 756.9333 40.33543 698.0667 37.20165 39.85291 X Y 6 Z 6 562.0333 Univariate Results for Each DV (Spreadsheet1) Sigma-restricted parameterization Effective hypothesis decomposition
Transcribed Image Text:S us The article "Compression of Single-Wall Corrugated Shipping Containers Using Fixed and Floating Test Platens" (J. Testing and Evaluation, 1992: 318-320) describes an experiment in which several different types of boxes were compared with respect to compression strength (lb). The following STATISTICA output displays the data for each of four box types: W, X, Y, and Z. The data represent independent random samples from each box type population. Since the sample sizes are all equal, this one-way ANOVA is considered a balanced design. They decide to make up six test specimens for each box type. All 24 specimens are tested on a laboratory compression strength tester in random order. Effect Total box type box type box type box type Descriptive Statistics (Spreadsheet1) Level of N Factor W 4999 24 6 strength strength Mean Std Dev. 682.5083 83.71308 713.0000 46.55053 756.9333 40.33543 698.0667 37.20165 39.85291 X Y 6 Z 6 562.0333 Univariate Results for Each DV (Spreadsheet1) Sigma-restricted parameterization Effective hypothesis decomposition
nts pus Effect Total box type box type box type box type Effect Intercept box type Error Total Descriptive Statistics (Spreadsheet 1) Level of N strength strength Mean Factor Std.Dev. om order. 24 682.5083 6 713.0000 X 6 756.9333 Y 6 698.0667 Z 6 562.0333 W 83.71308 46.55053 40.33543 37.20165 39.85291 Univariate Results for Each DV (Spreadsheet1) Sigma-restricted parameterization 1 3 20 23 Effective hypothesis decomposition Degr. of strength strength Freedom SS MS 11179623 11179623 127351 42450 33831 1692 161181 strength p 0.000000 25.096 0.000001 strength F 6609.182 What is the value of the absolute difference test statistic for the post-hoc Tukey Kramer pairwise comparison of X and Z box types? (final answer to 1 decimal place)
Transcribed Image Text:nts pus Effect Total box type box type box type box type Effect Intercept box type Error Total Descriptive Statistics (Spreadsheet 1) Level of N strength strength Mean Factor Std.Dev. om order. 24 682.5083 6 713.0000 X 6 756.9333 Y 6 698.0667 Z 6 562.0333 W 83.71308 46.55053 40.33543 37.20165 39.85291 Univariate Results for Each DV (Spreadsheet1) Sigma-restricted parameterization 1 3 20 23 Effective hypothesis decomposition Degr. of strength strength Freedom SS MS 11179623 11179623 127351 42450 33831 1692 161181 strength p 0.000000 25.096 0.000001 strength F 6609.182 What is the value of the absolute difference test statistic for the post-hoc Tukey Kramer pairwise comparison of X and Z box types? (final answer to 1 decimal place)
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