Subject Business OtherCourse HEALTH SCIRSCH7864 Step 1 the Data Analysis Plan Name the four variables used in this analysis and whether they are categorical or continuous State a research question, null hypothesis, and alternate hypothesis for total and final State a research question, null hypothesis, and alternate hypothesis for gpa and quiz1 Step 2 Testing Assumptions Test for one of the assumptions of correlation normality Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated Step 3 Results and Interpretation first report the total final correlation including degrees of freedom, correlation coefficient, and p value Specify whether or not to reject the null hypothesis for this correlation Second, report the gpa quiz1 correlation including degrees of freedom, correlation coefficient, and p value Specify whether or not to reject the null hypothesis for this correlation Step 4 Write Section 4 of the DAA Statistical Conclusions Provide a brief summary of your analysis and the conclusions drawn about correlations Analyze the limitations of the statistical test and or possible alternative explanations for your results Step 5 Application Analyze how you might use correlations in your field of study Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice Correlations quiz 1 gpa total final quiz 1 Pearson Correlation 1 19 750 366 Sig (2 tailed) 227 000 000 N 105 105 105 105 gpa Pearson Correlation 119 1 302 421 Sig (2 tailed) 227 002 000 N 105 105 105 105 total Pearson Correlation 750 302 1 796 Sig (2 tailed) 000 002 000 N 105 105 105 105 final Pearson Correlation 366 421 796 1 Sig (2 tailed) 000 000 000 N 105 105 105 105 Correlation is significant at the 0 01 level (2 tailed) Descriptive Statistics Std N Minimum Maximum Mean Deviation Skewness Kurtosis Statistic Statistic Statistic Statistic Statistic Statistic Std Error Statistic Std Error quiz 1 105 0 10 7 31 2 474 765 236 011 467 gpa 105 1 24 4 00 2 9098 68402 228 236 757 467 total 105 54 123 100 09 13 427 757 236 1 146 467 final 105 48 75 62 36 6 805 014 236 834 467 Valid N (listwise) 105

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Subject:Business - OtherCourse:HEALTH SCIRSCH7864 Step 1: the Data Analysis Plan Name the four variables used in this analysis and whether they are categorical or continuous.

Subject:Business - OtherCourse:HEALTH SCIRSCH7864

Step 1: the Data Analysis Plan

Name the four variables used in this analysis and whether they are categorical or continuous.
State a research question, null hypothesis, and alternate hypothesis for total and final.
State a research question, null hypothesis, and alternate hypothesis for gpa and quiz1.

Step 2: Testing Assumptions

Test for one of the assumptions of correlation - normality.

Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated.

Step 3: Results and Interpretation

first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.

Step 4: Write Section 4 of the DAA:Statistical Conclusions

Provide a brief summary of your analysis and the conclusions drawn about correlations.
Analyze the limitations of the statistical test and/or possible alternative explanations for your results.

Step 5:Application

Analyze how you might use correlations in your field of study.

Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.

Correlations quiz 1 gpa total final quiz 1 Pearson Correlation 1 19 750 .366 Sig. (2-tailed) 227 000 000 N 105 105 105 105 gpa Pearson Correlation 119 1 302 421 Sig. (2-tailed) 227 002 000 N 105 105 105 105 total Pearson Correlation 750 .302 1 .796 Sig. (2-tailed) 000 002 000 N 105 105 105 105 final Pearson Correlation .366 421 796 1 Sig. (2-tailed) 000 000 000 N 105 105 105 105 Correlation is significant at the 0.01 level (2-tailed).Descriptive Statistics Std. N Minimum Maximum Mean Deviation Skewness Kurtosis Statistic Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Std. Error quiz 1 105 0 10 7.31 2.474 -.765 236 011 467 gpa 105 1.24 4.00 2.9098 68402 -.228 236 -.757 .467 total 105 54 123 100.09 13.427 -.757 236 1.146 467 final 105 48 75 62.36 6.805 014 236 -.834 467 Valid N (listwise) 105