? Oneway TVHOURS Descriptives 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Not Too Happy 21 3.57 2.357 .514 2.50 4.64 1 12 Pretty Happy 69 3.19 2.840 .342 2.51 3.87 0 14 Very Happy 45 3.64 2.479 .369 2.90 4.39 0 12 Total 135 3.40 2.643 .228 2.95 3.85 0 14 TVHOURS ANOVA Sum of Squares df Mean Square F Sig. Between Groups 6.395 2 3.198 .454 .636 Within Groups 930.005 132 7.045 Total 936.400 134
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The alternative hypothesis (H1) is that there is a significant difference in the average happiness levels among the groups based on the time spent watching TV. Show more…
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ANOVA - Based on the following output from SPSS, were any of the following sections significantly different in midterm grades, hours of sleep, or hours of studying? Why or why not? Descriptive 95% Confidence Interval for Mean Mean Std_ Deviation 92.7059 5.97667 87.6389 7.78914 87.7500 7.04692 Std_ Error 1.44956 1.83592 2.03427 Lower Bound Upper Bound Minimum Maximum 95.7788 78.00 100.00 91.5123 73.00 100.00 92.2274 73.00 100.00 midterm 1.00 89.6330 83.7654 83.2726 83.6529 87.2196 5.6862 4.4324 3.9405 4.1838 2.00 3.00 4.00 Total 88.4737 89.2045 6.2188 5.1806 4.9583 5.1579 5.3885 3.5313 4.6806 3.8333 10.00205 8.07464 99948 1.50442 1.60196 2.02109 1.63102 1.88387 1.79010 1.09406 3.41586 2.38823 2.29463 99392 24987 35459 46245 46367 93.2945 91.1895 6.7513 5.9287 5.9762 6.1320 5.7926 4.5351 5.5708 4.5285 6.9885 5.0264 68.00 68.00 5.00 2.00 1.00 100.00 100.00 8.50 7.50 6.50 7.50 8.50 8.00 10.00 sleep 1.00 2.00 3.00 Total 20230 47097 42193 4.9843 2.5274 3.7904 studying 1.00 2.00 3.00 2.50 2.50 31583 3.1382 6.00 5.3421 78365 29622 3.6957 3.8428 12.00 Total 4.4346 12.00 ANOVA Sum of Squares Mean Square Sig: midterm Between Groups Within Groups Total Between Groups Within Groups Total Between Groups Within Groups Total 288.070 96.023 1.507 221 3949.919 63.708 4237.989 15.038 155.216 170.254 34.132 sleep 5.013 2.545 1.970 128 studying 11.377 2.097 110 330.903 365.035 The mean difference is significant at the 0.05 level. 5,425
Madhur L.
Exercise 8: ANOVA and PHA Perform the following: A. 1.) Discuss when to use the ANOVA, the One-way ANOVA and the two – way ANOVA. 2.) Discuss the importance of carrying out the post hoc analysis. B. Solve the following problem. Use the extra sheet if necessary. 1.) Consider Ho: μ1=μ2=μ3=μ4=μ5=μ6 a. Complete the following ANOVA table: Source | Sum of Square | Degrees of Freedom | Mean Square | Computed F Treatment | 200 | | | Error | | | | Total | 500 | 30 | b. Using a 5% significance level, would you reject Ho? Perform the 7-steps of hypothesis testing. Use extra sheets, if necessary. 2. In an experiment designed to compare the effects of tutoring on scores obtained on an examination, 3 levels of tutoring were used; none, 4 hours and 12 hours. A random sample of 18 students from a class and each student was randomly assigned to one of the treatment groups. The results of the cores are given in the following table: None | 4 hours | 12 hours 30 | 32 | 35 27 | 30 | 33 26 | 29 | 32 24 | 27 | 30 22 | 25 | 27 20 | 24 | 26 At a level of significance of 0.05, test the null hypothesis that the mean of the three treatment groups do not vary, that is Ho: μ1=μ2=μ3.
Sri K.
Use the One-way ANOVA function in SPSS to answer the questions based on the following scenario. (Assume a critical level of significance of .05). A researcher is interested in determining if participation in extracurricular activities affects academic performance. High school students are randomly assigned to one of three conditions: no activities, some activities, many activities. The data from the final exam scores are as follows: No activities: 75 74 66 79 62 68 59 73 76 69 Some activities: 78 85 85 77 81 76 90 85 73 80 Many activities: 58 70 58 59 62 55 58 63 67 59 6. Write an appropriate null hypothesis for this analysis. 7. What is the observed or computed value of F? 8. How would you explain the procedure for determining the degrees of freedom for the Between Groups variance (numerator)? 9. How would you explain the procedure for determining the degrees of freedom for the Within Groups variance (denominator)? 10. What is the value of the Between Groups degrees of freedom? 11. What are the value for the Within Groups degrees of freedom? 12. What is the reported level of significance? 13. Based on the reported level of significance, would you reject the null hypothesis?
Adi S.
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