Tests of Normality
	Kolmogorov-Smirnova	Shapiro-Wilk
Statistic	df	Sig.	Statistic	df	Sig.
quiz3	.140	105	.000	.935	105	.000
a. Lilliefors Significance Correction

Interpret the Shapiro-Wilk test and how you determined whether the assumption of normality was met or violated.

Descriptives
quiz3
	N	Mean	Std. Deviation	Std. Error	95% Confidence Interval for Mean	Minimum	Maximum
Lower Bound	Upper Bound
1	33	7.24	1.324	.230	6.77	7.71	5	10
2	39	6.72	1.538	.246	6.22	7.22	4	10
3	33	7.82	1.976	.344	7.12	8.52	4	10
Total	105	7.23	1.677	.164	6.90	7.55	4	10

Report the means and standard deviations of quiz3 for each group of the section variable.

ANOVA
quiz3
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	21.647	2	10.824	4.076	.020
Within Groups	270.867	102	2.656
Total	292.514	104

Report the results of the F test and interpret the statistical results against the null hypothesis and state whether it is accepted or rejected.

Multiple Comparisons
Dependent Variable: quiz3
Tukey HSD
(I) section	(J) section	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
Lower Bound	Upper Bound
1	2	.524	.385	.365	-.39	1.44
3	-.576	.401	.327	-1.53	.38
2	1	-.524	.385	.365	-1.44	.39
3	-1.100*	.385	.014	-2.02	-.18
3	1	.576	.401	.327	-.38	1.53
2	1.100*	.385	.014	.18	2.02
*. The mean difference is significant at the 0.05 level.

Finally, if the F is significant, interpret the post-hoc tests (multiple comparisons).

1. Provide a brief summary of your analysis and the conclusions drawn.

2. Analyze the limitations of the statistical test.

3. Provide any possible alternate explanations for the findings and potential areas for future exploration.