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Finally, the ratio of the two Mean Squares determines the F test statistic: Mean Square Factors divided by Mean Square Error, which is 8/4 = 2. This is what is compared against the right-tailed critical value of F in order to decide whether or not to reject the null hypothesis about the means being equal. SS df| MS F Factors 64 8 8 2

Finally, the ratio of the two Mean Squares determines the F test statistic: Mean Square Factors divided by Mean Square Error, which is 8/4 = 2. This is what is compared against the right-tailed critical value of F in order to decide whether or not to reject the null hypothesis about the means being equal. SS df| MS F Factors 64 8 8 2

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
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QUESTION 11 Finally, the ratio of the two Mean Squares determines the F test statistic: Mean Square Factors divided by Mean Square Error, which is 8/4 = 2. This is what is compared against the right-tailed critical value of F in order to decide whether or not to reject the null hypothesis about the means being equal. SS df MS Factors 64 8 2 Error 144 36 4 XXXX Total 208 44 XXXX XXXX Agree or Disagree? If it were me, l'd agree! Agree Disagree QUESTION 12 In order to perform the F test, let's generate the critical value, assuming a routine significance level of 5%. To do so, use the following spreadsheet function: =F.INV.RT( Besides the level of significance, we need the numerator and denominator degrees of freedom. The numerator is the Factors degrees of freedom, and the denominator is the Error degrees of freedom. =F.INV.RT(5%,8,36) Calculate this critical value using this spreadsheet function, and report it rounded to the nearest thousandth: #.###
Transcribed Image Text:QUESTION 11 Finally, the ratio of the two Mean Squares determines the F test statistic: Mean Square Factors divided by Mean Square Error, which is 8/4 = 2. This is what is compared against the right-tailed critical value of F in order to decide whether or not to reject the null hypothesis about the means being equal. SS df MS Factors 64 8 2 Error 144 36 4 XXXX Total 208 44 XXXX XXXX Agree or Disagree? If it were me, l'd agree! Agree Disagree QUESTION 12 In order to perform the F test, let's generate the critical value, assuming a routine significance level of 5%. To do so, use the following spreadsheet function: =F.INV.RT( Besides the level of significance, we need the numerator and denominator degrees of freedom. The numerator is the Factors degrees of freedom, and the denominator is the Error degrees of freedom. =F.INV.RT(5%,8,36) Calculate this critical value using this spreadsheet function, and report it rounded to the nearest thousandth: #.###
QUESTION 14 Now, compute the p-value or how likely is the chance the test statistic occurred randomly? Use the following spreadsheet function with the previously computed F test statistic of 2 and the same two degrees of freedom, 8 and 36. =F.DIST.RT(2,8,36) Report the percentage rounded to the nearest whole percent, including percent symbol.
Transcribed Image Text:QUESTION 14 Now, compute the p-value or how likely is the chance the test statistic occurred randomly? Use the following spreadsheet function with the previously computed F test statistic of 2 and the same two degrees of freedom, 8 and 36. =F.DIST.RT(2,8,36) Report the percentage rounded to the nearest whole percent, including percent symbol.
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