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Step 8 Now the F statistics for the factors and the interaction can be found. Use the partial ANOVA table to find these test statistics. Source of Variation Factor A, method Factor B, ride Interaction Error Sum of Squares SSA = 12 SSB = 8 SSAB = 104 SSE = 96 Degrees of Freedom a-1=1 The p-value is greater than significant. b-1=2 (a − 1)(b − 1) = 2 ab(r- 1) = 6 Mean Square MSA = 12 MSB = 4 MSAB = 52 MSE = 16 MSA F = MSE = 0.75 F = = F = = MSB MSE 0.25 F MSAB MSE 3.25 ✔ Use technology to find the p-value for F = 0.75, rounding the result to three decimal places. p-value = 0.75 0.25 Step 9 The F statistic for factor A, the method of loading and unloading riders, was found to be F = 0.75. The p-value will correspond to the upper tail area and is based on a - 1 = 1 numerator degrees of freedom and ab(r - 1) = 6 denominator degrees of freedom. 3.25 the specified a = 0.05, indicating that the method of loading and unloading is not

Step 8 Now the F statistics for the factors and the interaction can be found. Use the partial ANOVA table to find these test statistics. Source of Variation Factor A, method Factor B, ride Interaction Error Sum of Squares SSA = 12 SSB = 8 SSAB = 104 SSE = 96 Degrees of Freedom a-1=1 The p-value is greater than significant. b-1=2 (a − 1)(b − 1) = 2 ab(r- 1) = 6 Mean Square MSA = 12 MSB = 4 MSAB = 52 MSE = 16 MSA F = MSE = 0.75 F = = F = = MSB MSE 0.25 F MSAB MSE 3.25 ✔ Use technology to find the p-value for F = 0.75, rounding the result to three decimal places. p-value = 0.75 0.25 Step 9 The F statistic for factor A, the method of loading and unloading riders, was found to be F = 0.75. The p-value will correspond to the upper tail area and is based on a - 1 = 1 numerator degrees of freedom and ab(r - 1) = 6 denominator degrees of freedom. 3.25 the specified a = 0.05, indicating that the method of loading and unloading is not

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Step 8 Now the F statistics for the factors and the interaction can be found. Use the partial ANOVA table to find these test statistics. Source of Variation Factor A, method Factor B, ride Interaction Error Sum of Squares SSA = 12 SSB = 8 SSAB 104 SSE = 96 Degrees of Freedom a 1=1 The p-value is greater than significant. b-1=2 (a 1) (b 1) = 2 ab(r- 1) = 6 Mean Square MSA = 12 MSB = 4 MSAB = 52 MSE = 16 MSA MSE = 0.75 F = MSB MSE = 0.25 F = F = MSAB MSE = 3.25 F Use technology to find the p-value for F = 0.75, rounding the result to three decimal places. p-value = 0.75 0.25 Step 9 The F statistic for factor A, the method of loading and unloading riders, was found to be F = 0.75. The p-value will correspond to the upper tail area and is based on a - 1 = 1 numerator degrees of freedom and ab(r - 1) = 6 denominator degrees of freedom. 3.25 the specified a = 0.05, indicating that the method of loading and unloading is not
Transcribed Image Text:Step 8 Now the F statistics for the factors and the interaction can be found. Use the partial ANOVA table to find these test statistics. Source of Variation Factor A, method Factor B, ride Interaction Error Sum of Squares SSA = 12 SSB = 8 SSAB 104 SSE = 96 Degrees of Freedom a 1=1 The p-value is greater than significant. b-1=2 (a 1) (b 1) = 2 ab(r- 1) = 6 Mean Square MSA = 12 MSB = 4 MSAB = 52 MSE = 16 MSA MSE = 0.75 F = MSB MSE = 0.25 F = F = MSAB MSE = 3.25 F Use technology to find the p-value for F = 0.75, rounding the result to three decimal places. p-value = 0.75 0.25 Step 9 The F statistic for factor A, the method of loading and unloading riders, was found to be F = 0.75. The p-value will correspond to the upper tail area and is based on a - 1 = 1 numerator degrees of freedom and ab(r - 1) = 6 denominator degrees of freedom. 3.25 the specified a = 0.05, indicating that the method of loading and unloading is not
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