• Name the variables used in this analysis and whether they are categorical or continuous.
• State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA).

• Create SPSS output showing the Shapiro-Wilk test of normality. Run the Shapiro-Wilk test on the dependent variable test for the entire sample. Do not split the data up by gender before running the normality test.
• Paste the table in the DAA.
• Interpret the Shapiro-Wilk test and how you determined whether the assumption of normality was met or violated.

Tests of Normality Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. quiz3 148 105 000 946 105 000 a. Lilliefors Significance CorrectionDescriptives quiz3 Std. Std. 95% Confidence Minimu Maximu N Mean Deviation Error Interval for Mean m m Lower Upper Bound Bound 1 33 7.15 1.278 222 6.70 7.60 4 10 2 39 6.77 1.495 239 6.28 7.25 4 10 3 33 7.94 1.560 272 7.39 8.49 6 10 Total 105 7.26 1.519 . 148 6.96 7.55 4 10ANOVA quiz3 Sum of Mean Squares df Square F Sig. Between 25.013 2 12.506 5.932 1.004 Groups Within Groups 215.044 102 2. 108 Total 240.057 104Multiple Comparisons Dependent Variable: quiz3 Tukey HSD Mean (1) ( J ) Difference Std. section section ( 1-J) Error Sig. 95% Confidence Interval Lower Upper Bound Bound 2 382 343 .508 -.43 1.20 3 -.788 357 .075 -1.64 06 2 -.382 .343 .508 -1.20 43 3 -1.170 .343 003 -1.99 -.35 3 .788 .357 .075 -.06 1.64 2 1.170 .343 .003 35 1.99 * The mean difference is significant at the 0.05 level