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The two prior tables consist of the output of the statistical computing package. Considering these results, select which of the following statements about the result are true. Assume that your chosen significance level is a = .05. (Note: Recall that p in the statements that follow indicates the p- value-that is, the probability of obtaining this result if the null hypothesis were true. These results are hypothetical.) What do the results of the two-factor analysis of variance indicate? Check all that apply. O There is no significant main effect for diet (F(1, 54) = 14.181, p = 0.000). O There is a significant main effect for gender (F(1, 54) = 14.181, p = 0.000). O There is no significant main effect for gender (F(1, 54) = 3.752, p = 0.030). O There is a significant effect for the interaction between gender and diet (F(2, 54) = 350.149, p 0.000).

The two prior tables consist of the output of the statistical computing package. Considering these results, select which of the following statements about the result are true. Assume that your chosen significance level is a = .05. (Note: Recall that p in the statements that follow indicates the p- value-that is, the probability of obtaining this result if the null hypothesis were true. These results are hypothetical.) What do the results of the two-factor analysis of variance indicate? Check all that apply. O There is no significant main effect for diet (F(1, 54) = 14.181, p = 0.000). O There is a significant main effect for gender (F(1, 54) = 14.181, p = 0.000). O There is no significant main effect for gender (F(1, 54) = 3.752, p = 0.030). O There is a significant effect for the interaction between gender and diet (F(2, 54) = 350.149, p 0.000).

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
Section10.5: Comparing Sets Of Data
Problem 13PPS
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Set: Parametric Hypotnesis Testing Comparing Two or More Means: Interpreting SPSS Mediterrariean 552.792 240.004 20 Total 515.425 241.820 60 Test of Between-Subjects Effects Source Sum of Squares df Mean Square Sig Corrected Model 991,920 198,384 4.358 0.002 Intercept 15,939,766 1 15,939,766 350.149 0.000 GENDER 645,568.63 1 64,5569 14.181 0.000 DIET 341,645.36 170,823 3.752 0.030 GENDER*DIET 4,705.87 2,353 0.052 0.950 Error 2,458,230.04 54 45,523 Total 19,389,915 60 Corrected Total 3,450,150 59 The two prior tables consist of the output of the statistical computing package. Considering these results, select which of the following statements about the result are true. Assume that your chosen significance level is a = .05. (Note: Recall that p in the statements that follow indicates the p- value-that is, the probability of obtaining this result if the null hypothesis were true. These results are hypothetical.) What do the results of the two-factor analysis of variance indicate? Check all that apply. O There is no significant main effect for diet (F(1, 54) = 14.181, p = 0.000). O There is a significant main effect for gender (F(1, 54) = 14.181, p = 0.000). O There is no significant main effect for gender (F(1, 54) = 3.752, p = 0.030). O There is a significant effect for the interaction between gender and diet (F(2, 54) = 350.149, p = 0.000). MacBook Air
Transcribed Image Text:Set: Parametric Hypotnesis Testing Comparing Two or More Means: Interpreting SPSS Mediterrariean 552.792 240.004 20 Total 515.425 241.820 60 Test of Between-Subjects Effects Source Sum of Squares df Mean Square Sig Corrected Model 991,920 198,384 4.358 0.002 Intercept 15,939,766 1 15,939,766 350.149 0.000 GENDER 645,568.63 1 64,5569 14.181 0.000 DIET 341,645.36 170,823 3.752 0.030 GENDER*DIET 4,705.87 2,353 0.052 0.950 Error 2,458,230.04 54 45,523 Total 19,389,915 60 Corrected Total 3,450,150 59 The two prior tables consist of the output of the statistical computing package. Considering these results, select which of the following statements about the result are true. Assume that your chosen significance level is a = .05. (Note: Recall that p in the statements that follow indicates the p- value-that is, the probability of obtaining this result if the null hypothesis were true. These results are hypothetical.) What do the results of the two-factor analysis of variance indicate? Check all that apply. O There is no significant main effect for diet (F(1, 54) = 14.181, p = 0.000). O There is a significant main effect for gender (F(1, 54) = 14.181, p = 0.000). O There is no significant main effect for gender (F(1, 54) = 3.752, p = 0.030). O There is a significant effect for the interaction between gender and diet (F(2, 54) = 350.149, p = 0.000). MacBook Air
IDNUM GENDER CALORIES_DEC DIET 001 1. 201 2 002 2 659 003 2 452 004 1 211 2 005 56 When setting up your analysis, you place the variables in the Fixed Factor box. You also place the variable in the Dependent List box. Descriptives CALORIES_DEC GENDER DIET Mean Std Deviation Female Low-carbohydrate 314.739 253.555 10 Low-fat 467.306 144.100 10 Mediterranean 453.046 200.772 10 Total 411.697 209.293 30 Male Low-carbohydrate 505.609 234.949 10 Low-fat 699.311 158.372 10 Mediterranean 652.538 259.789 10 Total 619.153 230.013 30 Total Low-carbohydrate 410.174 257.271 20 Low-fat 583.308 189.424 20 Mediterranean 552.792 248.064 20 MacBook Air
Transcribed Image Text:IDNUM GENDER CALORIES_DEC DIET 001 1. 201 2 002 2 659 003 2 452 004 1 211 2 005 56 When setting up your analysis, you place the variables in the Fixed Factor box. You also place the variable in the Dependent List box. Descriptives CALORIES_DEC GENDER DIET Mean Std Deviation Female Low-carbohydrate 314.739 253.555 10 Low-fat 467.306 144.100 10 Mediterranean 453.046 200.772 10 Total 411.697 209.293 30 Male Low-carbohydrate 505.609 234.949 10 Low-fat 699.311 158.372 10 Mediterranean 652.538 259.789 10 Total 619.153 230.013 30 Total Low-carbohydrate 410.174 257.271 20 Low-fat 583.308 189.424 20 Mediterranean 552.792 248.064 20 MacBook Air
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