Use the Sun Coast Remediation data set to conduct an independent samples t test, dependent samples (paired samples) t test, and ANOVA using the independent samples tab, paired samples tab, and ANOVA tab in the Sun Coast data file. The statistical output tables should be cut and pasted from Excel directly into the final project document. Delete instructions and examples highlighted in yellow before submitting this assignment.
Independent Samples t Test: Hypothesis Testing
Restate the hypotheses from Unit II here.
Ho4:
Ha4:
Provide data output results from Excel Toolpak here.
Interpret and explain the independent samples t test results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
Example:
Ho4: There is no statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).
Ha4: There is a statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).
The results indicate that the mean values are lower for Group A; however, the results also indicate a p value of .37627 > .05. Therefore, the null hypothesis is accepted that there is no statistically significant difference in mean values of the DV between Group A (IV1) and Group B (IV2).
Dependent Samples (Paired Samples) t Test: Hypothesis Testing
Restate the hypotheses from Unit II here.
Ho5:
Ha5:
Provide data output results from Excel Toolpak here.
Interpret and explain the dependent t test results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
ANOVA: Hypothesis Testing
Restate the hypotheses from Unit II here.
Ho6:
Ha6:
Provide data output results from Excel Toolpak here.
Interpret and explain the ANOVA results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
References
Include references here using hanging indentations.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE.
