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Applications

Week 4: Your Data Interpretation Practicum

This week, you will run descriptive statistics and a t test on your chosen dataset. This Application requires you to engage in data interpretation and to select the appropriate analyses for your hypotheses and for the data that you have at your disposal. Toward that end, you should consider which descriptive statistics will inform the reader and allow you to pursue your questions.
Your submission to your Instructor should include your SPSS output file of your descriptive statistics analysis in a Word document, along with each of the following elements:

· your SPSS output, including graphical representations;

· your narrative interpretation;

· the governing assumptions of the analyses you ran; the viable and nonviable hypotheses (null and alternative); and

· The relevant values (such as a P value indicating statistical significance or a lack thereof).

Week 5: SPSS Exercises

Complete the following exercises in your course text Using SPSS for Windows and Macintosh: Analyzing and Understanding Data, by Green and Salkind. Be sure to save your output and export it to your Word document, in which you also must answer the analysis questions and present your results section as indicated:

· Exercises 1–3 on page 171, One-way analysis of variance (ANOVA)

· Exercises 5–8 on page 187, Two-way ANOVA

Week 6: Your Data Interpretation Practicum

This week, you will run eitherttests or ANOVA on your chosen data. This Application requires you to engage in data interpretation and to select the appropriate analyses for your hypotheses and for the data that you have at your disposal. Toward that end, you should consider which analyses will inform the reader and allow you to pursue your questions.

Your submission to your Instructor should include your SPSS output file of your selected statistical analyses in a Word document, along with each of the following elements:

· your SPSS output, including graphical representations;

· your narrative interpretation; the governing assumptions of the analyses you ran; the viable and nonviable hypotheses (null and alternative); and

· the relevant values (such as aPvalue indicating statistical significance or a lack thereof).

Be sure to indicate to your Instructor why you selected the analyses that you did. In other words, why did you selectttest over ANOVA or vice versa? Why one-way or two-way? How is this analysis related to the hypothesis?

Week 7: Application : Your Data Interpretation Practicum

This week, you will run either correlation, regression, or discriminant analysis on your chosen data. This Application requires you to engage in data interpretation and to select the appropriate analyses for your hypotheses and for the data that you have at your disposal. Toward that end, you should consider which analyses will inform the reader and allow you to pursue your questions.

Your submission to your Instructor should include your SPSS output file of your selected statistical analysis in a Word document, along with each of the following elements:

· your SPSS output, including graphical representations;

· your narrative interpretation; the governing assumptions of the analyses you ran; the viable and nonviable hypotheses (null and alternative); and

· the relevant values (such as aPvalue indicating statistical significance or a lack thereof).

Be sure to indicate to your Instructor why you selected the analyses that you did. In other words, why did you select to engage in discriminant analysis, regression, or correlation? How is this analysis related to the hypothesis?

Week 8: Application: SPSS Exercises

Complete the following exercises in your course text Using SPSS for Windows and Macintosh: Analyzing and Understanding Data, by Green and Salkind. Be sure to save your output and export it to your Word document, in which you also must answer the analysis questions and present your results section as indicated:

· Exercises 1–4 on p. 327, Chi-square test (Note: Use “Lesson 40 Exercise File 1.sav”)

· Exercises 1–4 on p. 343, Nonparametric procedures

· Exercises 1–5 on p. 354, Nonparamet