Testing Assumptions

Descriptive Statistics
	N	Mean	Skewness	Kurtosis
Statistic	Statistic	Statistic	Std. Error	Statistic	Std. Error
quiz1	105	7.50	-.867	.236	.383	.467
gpa	105	2.9306	-.266	.236	-.753	.467
total	105	99.16	-.756	.236	.775	.467
final	105	63.62	-.004	.236	-.642	.467
Valid N (listwise)	105

1. What are the variables and scales of measurement
2. Write a research question, null and alternate hypothesis
3. Summarize whether or not the assumption is met

Result and Interpretation

Correlations
	quiz1	gpa	final	total
quiz1	Pearson Correlation	1	.113	.265**	.771**
Sig. (2-tailed)		.252	.006	.000
N	105	105	105	105
gpa	Pearson Correlation	.113	1	.254**	.291**
Sig. (2-tailed)	.252		.009	.003
N	105	105	105	105
final	Pearson Correlation	.265**	.254**	1	.569**
Sig. (2-tailed)	.006	.009		.000
N	105	105	105	105
total	Pearson Correlation	.771**	.291**	.569**	1
Sig. (2-tailed)	.000	.003	.000
N	105	105	105	105
**. Correlation is significant at the 0.01 level (2-tailed).

1. Interpret the statistical Results.
2. Provide a brief summary of your analysis and the conclusions drawn.
3. Analyze the limitations of the statistical test.
4. Provide any possible alternate explanations for the findings and potential areas for future exploration.
5. Describe how this analysis can be used in Information Technology

Analyze what the value and potential implication of such analysis would be