Data Analysis Plan This assignment discusses the variables Quiz1, GPA, Final, and Total fromgrades savfile This study verifies the teacher's data from both students' demographics and grades on the four variables listed above Thegrades from Quiz1, Final, and Total variables are categorical The variable GPA is the only one that is continuous The first research question Is there a relationship between the variables Total and Final Hypothesis 1 There's correlation between Total and Final The null hypothesis There is no significant relationship between the two variables The alternative hypothesis is There is a significant relationship between the two variables The second research question to be evaluated Is there a relationship between GPA andQuiz1 Hypothesis 2 There's correlation between GPA andQuiz1 Null hypothesis There is no significant relationship between the two variables GPA andQuiz1 Alternative hypothesis There is a significant relationship between the variables GPA andQuiz1 Testing Assumptions Descriptive Statistics N Skewness Kurtosis Statistic Statistic Std Error Statistic Std Error quiz1 105 729 236 072 467 gpa 105 232 236 735 467 total 105 793 236 885 467 final 105 376 236 560 467 Valid N (listwise) 105 Summarize whether or not the assumption is met Results Interpretation Correlations quiz1 gpa total final quiz1 Pearson Correlation 1 129 721 236 Sig (2 tailed) 190 000 015 N 105 105 105 105 gpa Pearson Correlation 129 1 269 211 Sig (2 tailed) 190 006 031 N 105 105 105 105 total Pearson Correlation 721 269 1 519 Sig (2 tailed) 000 006 000 N 105 105 105 105 final Pearson Correlation 236 211 519 1 Sig (2 tailed) 015 031 000 N 105 105 105 105 Correlation is significant at the 0 01 level (2 tailed) Correlation is significant at the 0 05 level (2 tailed) Interpret statistical results as discussed in the instructions Statistical Conclusions Provide a brief summary of your analysis and the conclusions drawn Analyze the limitations of the statistical test Provide any possible alternate explanations for the findings and potential areas for future exploration

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Data Analysis Plan This assignment discusses the variables: Quiz1, GPA, Final, and Total fromgrades.savfile. This study verifies the teacher's data from both students' demographics and

Data Analysis Plan

This assignment discusses the variables: Quiz1, GPA, Final, and Total fromgrades.savfile. This study verifies the teacher's data from both students' demographics and grades on the four variables listed above. Thegrades from Quiz1, Final, and Total variables are categorical. The variable GPA is the only one that is continuous.

The first research question: Is there a relationship between the variables Total and Final?

Hypothesis 1: There's correlation between Total and Final. The null hypothesis: There is no significant relationship between the two variables. The alternative hypothesis is: There is a significant relationship between the two variables.

The second research question to be evaluated: Is there a relationship between GPA andQuiz1? Hypothesis 2: There's correlation between GPA andQuiz1. Null hypothesis: There is no significant relationship between the two variables GPA andQuiz1. Alternative hypothesis: There is a significant relationship between the variables GPA andQuiz1.

Testing Assumptions

Descriptive Statistics
	N	Skewness	Kurtosis
Statistic	Statistic	Std. Error	Statistic	Std. Error
quiz1	105	-.729	.236	.072	.467
gpa	105	-.232	.236	-.735	.467
total	105	-.793	.236	.885	.467
final	105	-.376	.236	.560	.467
Valid N (listwise)	105

Summarize whether or not the assumption is met.

Results & Interpretation

Correlations
	quiz1	gpa	total	final
quiz1	Pearson Correlation	1	.129	.721^**	.236^*
Sig. (2-tailed)		.190	.000	.015
N	105	105	105	105
gpa	Pearson Correlation	.129	1	.269^**	.211^*
Sig. (2-tailed)	.190		.006	.031
N	105	105	105	105
total	Pearson Correlation	.721^**	.269^**	1	.519^**
Sig. (2-tailed)	.000	.006		.000
N	105	105	105	105
final	Pearson Correlation	.236^*	.211^*	.519^**	1
Sig. (2-tailed)	.015	.031	.000
N	105	105	105	105
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).

Interpret statistical results as discussed in the instructions.

Statistical Conclusions

Provide a brief summary of your analysis and the conclusions drawn.
Analyze the limitations of the statistical test.
Provide any possible alternate explanations for the findings and potential areas for future exploration.