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You will submit one Word document for this assignment, In the first part, you will provide short answers to the following questions (250 words or less). Name the file in the following format: lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc).

Begin by downloading the following SPSS datasets:
- Activity 6a.sav (found on the "additional resources" page)
- Activity 6b.sav (file you created in Week 8)
- Activity 6c.sav (found on the "additional resources" page)

Part A. Questions about non-parametric procedures

1. What are the most common reasons you would select a non-parametric test over the parametric alternative?

2. Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?

3. For each of the following parametric tests, identify the appropriate non-parametric counterpart:
a. Dependent t test
b. Independent samples t test
c. Repeated measures ANOVA (one-variable)
d. One-way ANOVA (independent)
e. Pearson Correlation

Part B. SPSS Assignment

In this part of the assignment, you will perform the non-parametric version of the tests you used previously. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test. Using the data files from earlier activities, complete the following tests and paste your results into the assignment Word document:

1. Activity 6A: non-parametric version of the dependent t test

2. Activity 6B: non-parametric version of the independent t test

3. Activity 6C: non-parametric version of the single factor ANOVA

PART 2

You will submit one Word document for this assignment. You will create this Word document by cutting and pasting SPSS output into Word. Name the file in the following format: lastnamefirstinitialPSY7107-10.doc (example: smithbPSY7107-10.doc).

Begin by downloading the following SPSS data set:
- Activity 10.sav (found on the "additional resources" page)

Part A.SPSS Assignment

In this exercise, you are playing the role of a researcher that is testing new medication designed to improve cholesterol levels. When examining cholesterol in clinical settings, we look at two numbers: low-density lipoprotein (LDL) and high-density lipoprotein (HDL). You may have heard these called "good" (HDL) and "bad" (LDL) cholesterol. For LDL, lower numbers are better (below 100 is considered optimal. For HDL, 60 or higher is optimal.

In this experiment, the researcher is testing three different versions of the new medication. In data file "Activity 10.sav" you will find the following variables: group (0=control, 1=Drug A, 2=Drug B, 3=Drug C), LDL, and HDL (cholesterol numbers of participants after 12 weeks).

Using a MANOVA, try to ascertain which version of the drug (A, B or C) shows the most promise. Perform the following analyses, and paste the SPSS output into your document.

1. Exploratory Data Analysis.

a. Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.

b. Give a one to two paragraph write up of the data once you have done this.

c. Create an APA style table that presents descriptive statistics for the sample.

2. Perform a MANOVA. Using the "Activity 10.sav" data set perform a MANOVA. "Group" is your fixed factor, and LDL and HDL are your dependent variables. Be sure to include simple contrasts to distinguish between the drugs (group variable). In the same analysis, include descriptive statistics, and parameter estimates. Finally, be certain to inform SPSS that you want post-hoc test to help you determine which drug works best.

a. Is there any statistically significant difference in how the drugs perform? If so, explain the effect. Use the post hoc tests as needed.

b. Write up the results using APA style and interpret them.

Part B. Reflection

Reflect on your experience throughout the course. In your assignment document, include a brief assessment of what you have learned.

In 2-3 paragraphs, cover the following:

1. What were the three most important things you learned?

2. How will the material in this course help you in your dissertation work?

3. What would you like to have seen covered that wasn't?

Attachment:- activity.rar

Applied Statistics, Statistics

  • Category:- Applied Statistics
  • Reference No.:- M92040484

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