Test the hypothesis that the three class sections (section) differed in their performance on Quiz #3 (quiz3). 2 Before doing this, indicate what type of ANOVA you will perform (i.e., Independent or Dependent), state your null and alternative hypotheses, and the alpha level. Type of ANOVA: Step 1: H1: Ho: Step 2: a = 0.01 Step 3: Descriptives quiz3 95% Confidence Interval for Mean Mean N. Std. Deviation Lower Bound Upper Bound Std. Error Minimum Maximum 33 9.00 2.062 9.73 8.27 359 10 7.62 39 2.098 6.94 336 8.30 10 33 7.61 2.549 6.70 1444 8.51 10 0. Total 8.05 2.310 105 225 7.60 8,49 10 ANOVA quiz3 Sum of Squares Mean Square df Sig 21.826 4.356 015 43.652 Between Groups 5.011 102 511.110 Within Groups 104 554.762 Total Multiple Comparisons Dependent Variable: quiz3 Tukey HSD Mean Difference (l- J) 95% Confidence Interval ) section (J) section Std. Error Sig. Lower Bound Upper Bound 2. 1. 1.385 529 028 13 2.64 1.394 551 .034 08 2.70 2. 1 -1.385 .529 .028 -2.64 -.13 3. 009 529 1.000 -1.25 1.27 1 3) -1.394 551 034 -2.70 -.08 2. 009 529 *. The mean difference is significant at the 0.05 level. -1.27 1.000 1.25 df values- Significance = F= %3D Are post-hoc tests needed? (circle one): Yes No Based on the SPSS output, state the conclusion you reached. Specifically, indicate (1) whether you reject or did not reject the null hypothesis and (2) write up the results using the format you see on the board (make sure to include the results of the post-hoc tests only if needed). 3.
Test the hypothesis that the three class sections (section) differed in their performance on Quiz #3 (quiz3). 2 Before doing this, indicate what type of ANOVA you will perform (i.e., Independent or Dependent), state your null and alternative hypotheses, and the alpha level. Type of ANOVA: Step 1: H1: Ho: Step 2: a = 0.01 Step 3: Descriptives quiz3 95% Confidence Interval for Mean Mean N. Std. Deviation Lower Bound Upper Bound Std. Error Minimum Maximum 33 9.00 2.062 9.73 8.27 359 10 7.62 39 2.098 6.94 336 8.30 10 33 7.61 2.549 6.70 1444 8.51 10 0. Total 8.05 2.310 105 225 7.60 8,49 10 ANOVA quiz3 Sum of Squares Mean Square df Sig 21.826 4.356 015 43.652 Between Groups 5.011 102 511.110 Within Groups 104 554.762 Total Multiple Comparisons Dependent Variable: quiz3 Tukey HSD Mean Difference (l- J) 95% Confidence Interval ) section (J) section Std. Error Sig. Lower Bound Upper Bound 2. 1. 1.385 529 028 13 2.64 1.394 551 .034 08 2.70 2. 1 -1.385 .529 .028 -2.64 -.13 3. 009 529 1.000 -1.25 1.27 1 3) -1.394 551 034 -2.70 -.08 2. 009 529 *. The mean difference is significant at the 0.05 level. -1.27 1.000 1.25 df values- Significance = F= %3D Are post-hoc tests needed? (circle one): Yes No Based on the SPSS output, state the conclusion you reached. Specifically, indicate (1) whether you reject or did not reject the null hypothesis and (2) write up the results using the format you see on the board (make sure to include the results of the post-hoc tests only if needed). 3.
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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