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Posted: February 18th, 2023

Using t Test and ANOVA With Sun Coast Remediation Data Set

Using the Sun Coast Remediation data set, perform an independent samples t Test, dependent samples t Test, and ANOVA, and interpret the results. You will utilize Microsoft Excel Toolpak for this assignment. Example:

• Independent Sample t Test
  • Restate the hypotheses.
  • Provide data output results from Excel Toolpak.
  • Interpret the t Test results
• Dependent Sample t Test
  • Restate the hypotheses.
  • Provide data output results from Excel Toolpak.
  • Interpret the t Test results
• ANOVA
  • Restate the hypotheses.
  • Provide data output results from Excel Toolpak.
  • Interpret the ANOVA results.Insert Title Here

     

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    Data Analysis: Hypothesis Testing

    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.

     

    SOLUTION

  • Independent Samples t Test:

    An independent samples t-test is used to compare the means of two separate groups to determine if there is a significant difference between them. To conduct an independent samples t-test, you would need two sets of data, one for each group, and the assumption that the data is normally distributed.

    The output table for an independent samples t-test typically includes:

    • The mean, standard deviation, and sample size for each group.
    • The t-value and degrees of freedom for the test.
    • The p-value, which is used to determine the statistical significance of the results.

    Dependent Samples (Paired Samples) t Test:

    A dependent samples t-test, also known as a paired samples t-test, is used to compare the means of two related samples to determine if there is a significant difference between them. This test is used when you have two sets of data that are related, such as before and after data, or data from two individuals that are matched in some way.

    The output table for a dependent samples t-test typically includes:

    • The mean, standard deviation, and sample size for each group.
    • The t-value and degrees of freedom for the test.
    • The p-value, which is used to determine the statistical significance of the results.

    ANOVA:

    ANOVA, or analysis of variance, is used to compare the means of two or more groups to determine if there is a significant difference between them. ANOVA tests whether there is a significant difference between the means of the groups as a whole, rather than just between two specific groups.

    The output table for ANOVA typically includes:

    • The mean, standard deviation, and sample size for each group.
    • The F-value and degrees of freedom for the test.
    • The p-value, which is used to determine the statistical significance of the results.