Fill in the missing values in the ANOVA Summary  table above (see highlighted). Hint. Start from finding the df values for Between treatments and Within treatments. Afterwards, compute the other missing values.  Refer to the formulas for df, MS and F statistic, and the example of Summary table in the lecture about One-factor ANOVA (slide 19). Part B. Based on the ANOVA outcomes computed in Part A, is there any significant difference in the effectiveness of four workout videos? Conduct the hypothesis test with p < .05 to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to two decimal places to avoid rounding errors. Make sure to enter you answer into the provided text box (any attachments will not be graded). Part B: H0: H1: df for the decision about H0: Critical F-value used for the decision about H0: Decision about H0 (i.e., reject or fail to reject):  η2 effect size: Conclusion in APA format (i.e., Is there any significant difference in effectiveness of workout videos? Make sure to follow the APA reporting format in your conclusion, see examples on the lecture slides)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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 A researcher used one-factor ANOVA for independent samples to examine effectiveness of four workout videos. Students who enrolled to the study were randomly divided into four groups with n = 10 participants in each group. Each group exercise to a different workout video and afterwards, all participants completed a survey evaluating the effectiveness of their workout. The partial results of the ANOVA conducted on the collected data are shown in the summary table below:

                              

                                           Source              SS           df         MS           F   

                              Between Treatments   ____       ____     ____       ____

                              Within Treatments       117         ____     ____  

                              Total                              159    

 

           Part A. Fill in the missing values in the ANOVA Summary  table above (see highlighted). Hint. Start from finding the df values for Between treatments and Within treatments. Afterwards, compute the other missing values.  Refer to the formulas for dfMS and F statistic, and the example of Summary table in the lecture about One-factor ANOVA (slide 19).

Part B. Based on the ANOVA outcomes computed in Part A, is there any significant difference in the effectiveness of four workout videos? Conduct the hypothesis test with p < .05 to answer this research question.

Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to two decimal places to avoid rounding errors. Make sure to enter you answer into the provided text box (any attachments will not be graded).

Part B:

  • H0:

  • H1:

  • df for the decision about H0:

  • Critical F-value used for the decision about H0:

  • Decision about H0 (i.e., reject or fail to reject):

  •  η2 effect size:

  • Conclusion in APA format (i.e., Is there any significant difference in effectiveness of workout videos? Make sure to follow the APA reporting format in your conclusion, see examples on the lecture slides)

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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