Sum of Squares df Mean Square F Sig. Between Groups 13.114 4 3.279 2.230 .072...
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Homework Answers
a. No, the relationship is not significant. We have conducted an ANOVA test here to determine if the relationship is significant with H0: the relationship is not significant and H1:the relationship is significant.
The p-value of the test here is greater than the standard value of 0.05 which is considered as the alpha level to determine if a test is significant or not. So we fail to Reject the null hypothesis here.
b. From the ANOVA test we find that the relationship between IV and DV is not significant at the 5% significance level.
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Sum of Squares
df
Mean Square
F
Sig.
Between Groups
13.114
4
3.279
2.230
.072...
ANOVA Score Sum of Squares df Mean Square F Sig. Between Groups 652.875 3 217.625 14.404...
ANOVA Score Sum of Squares df Mean Square F Sig. Between Groups 652.875 3 217.625 14.404 .000 Within Groups 543.900 36 15.108 Total 1196.775 39
Question 8 ANOVA Score Sum of Squares df Mean Square F Sig. Between Groups 1746.100 3...
Question 8 ANOVA Score Sum of Squares df Mean Square F Sig. Between Groups 1746.100 3 582.033 47.686 .000 Within Groups 439.400 36 12.206 Total 2185.500 39 Which value below represents the effect size (eta squared) for this analysis? η2 =.83 η2 =.79 η2 =.59 η2 =.69
Question 24 (4 points) DepScore1 Sum of Squares df F 1.313 Mean Square 23.846 18.158 Sig....
Question 24 (4 points) DepScore1 Sum of Squares df F 1.313 Mean Square 23.846 18.158 Sig. 2 74 Between Groups Within Groups Total 47.693 1761.307 1809.000 97 99 Using the output above, report the results of this test using APA format. Question 25 (3 points) Given the above findings, report what you found in terms the null hypothesis using an Alpha level of .05.
Interpret the table below ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression...
Interpret the table below ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 64603.151 4 16150.788 33.923 .000b Residual 1153126.037 2422 476.105 Total 1217729.188 2426 a. Dependent Variable: R's socioeconomic index (2010) b. Predictors: (Constant), Separated, Widowed, Divorced, Married Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .230a .053 .051 21.8198 1.783 a. Predictors: (Constant), Separated, Widowed, Divorced, Married b. Dependent Variable: R's socioeconomic index (2010)
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8...
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8 Within Treatments 2 Error Total 100 The conclusion of the test is that the means are equal may be equal are not equal None of these alternatives are correct.
Mean Square (Variance) Degrees of Sum of Source Freedom Squares Consider an experiment with nine groups, with eight val...
Mean Square (Variance) Degrees of Sum of Source Freedom Squares Consider an experiment with nine groups, with eight values in each. For the ANOVA summary table shown to the right, fill in all the missing results. Among FSTAT ? MSA 22 SSA ? c-1 ? groups Within MSW ? SSW 693 n c groups Total SST ? n-1 2 Complete the ANOVA summary table below. Degrees of Freedom Sum of Mean Square (Variance) MSA 22 Source Squares FSTAT Among groups...
Complete the following ANOVA summary table using the appropriate formulas. Source Sum of Square df Mean...
Complete the following ANOVA summary table using the appropriate formulas. Source Sum of Square df Mean Square Fobt Between groups 1,059 18 Within groups 3,702 167 N/A Total 4,761 185 N/A N/A Calculate the Mean Squared Between (bn)? Calculate the Mean Squared Within (wn)? Finally, calculate the F-Statistic or F-obtained?
Source Between treatments Within treatments Sum of Squares (Ss) df Mean Square (MS) 2 310,050.00 2,650.00 In some ANOVA summary tables you will see, the labels in the first (source) column are Treatm...
Source Between treatments Within treatments Sum of Squares (Ss) df Mean Square (MS) 2 310,050.00 2,650.00 In some ANOVA summary tables you will see, the labels in the first (source) column are Treatment, Error, and Total Which of the following reasons best explains why the within-treatments sum of squares is sometimes referred to as the "error sum of squares"? O Differences among members of the sample who received the same treatment occur when the researcher O Differences among members of...
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 180 3...
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 180 3 Within Treatments (Error) TOTAL 480 18 If at 95% confidence, we want to determine whether or not the means of the populations are equal, the p-value is between 0.01 to 0.025 between 0.025 to 0.05 between 0.05 to 0.1 greater than 0.1
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8...
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8 Within Treatments 2 Error Total 100 If at 95% confidence we want to determine whether or not the means of the populations are equal, the p-value is greater than 0.1 between 0.05 to 0.1 between 0.025 to 0.05 less than 0.01
Question 24 (4 points) DepScore1 Sum of Squares df F 1.313 Mean Square 23.846 18.158 Sig. 2 74 Between Groups Within Groups Total 47.693 1761.307 1809.000 97 99 Using the output above, report the results of this test using APA format. Question 25 (3 points) Given the above findings, report what you found in terms the null hypothesis using an Alpha level of .05.
Mean Square (Variance) Degrees of Sum of Source Freedom Squares Consider an experiment with nine groups, with eight values in each. For the ANOVA summary table shown to the right, fill in all the missing results. Among FSTAT ? MSA 22 SSA ? c-1 ? groups Within MSW ? SSW 693 n c groups Total SST ? n-1 2 Complete the ANOVA summary table below. Degrees of Freedom Sum of Mean Square (Variance) MSA 22 Source Squares FSTAT Among groups...
Source Between treatments Within treatments Sum of Squares (Ss) df Mean Square (MS) 2 310,050.00 2,650.00 In some ANOVA summary tables you will see, the labels in the first (source) column are Treatment, Error, and Total Which of the following reasons best explains why the within-treatments sum of squares is sometimes referred to as the "error sum of squares"? O Differences among members of the sample who received the same treatment occur when the researcher O Differences among members of...
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