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Psy325 Statistics For The Behavioral & Social Sciences Weeks

PSY325 Statistics for the Behavioral & Social Sciences Weeks 1,2, 3, and 5 Discussion Posts
(note: in the future, I will be starting capstone classes. the course material for these classes will be sold as a bundle)

Week 1:
Data Analysis

For this discussion, you will organize data sets into meaningful number groupings, calculate basic descriptive values, and communicate written critiques of statistical analyses.

This exercise requires the use of a descriptive statistics calculator. You can find this tool in some versions of Excel (as part of the Analysis ToolPak) or you can use one of the many free online descriptive calculators such as the Descriptive Statistics Calculator by Calculator Soup.

To begin, come up with 20 different data points (that will form a set of data) and enter them into the first column of an Excel spreadsheet. The data points can be any numbers you want as long as there are 20 of them.

You will then use the descriptive statistics option in your descriptive statistics program or calculator. This is explained in Chapter 1 of your course text. You should get an output similar to the image in Figure 1.1.

This output must contain the following values: mean, standard error, median, mode, standard deviation, sample variance, kurtosis, skewness, range, minimum, maximum, sum, and count. Address the following points in your initial post:

Begin your discussion by reporting your results for each of the values listed above.
Based on this output, which single value best describes this set of data and why?
If you could pick three of these values instead of only one, which three would you choose and why?

It is important to note that the answers to these questions may be different for each of you since you are each using unique sets of data.

Guided Response: Review several of your classmates’ posts. Provide a substantive response to at least three of your peers, and respond to comments on your post. Do you agree with your classmate’s selection of the best value based upon their data? What suggestions might you make for other options? Explain your suggestions citing relevant information from the article and/or your text. Cite your sources in APA format as outlined in the Ashford Writing Center.

For this exercise, you may elect to use the “Analysis ToolPak” within Excel. This feature is already part of the 2007 and 2010 Excel program for Windows; however, it must be activated. The following directions were provided by the Help function within Excel. If you experience issues while following these steps, utilize the Help function within Excel or contact Microsoft’s technical support for Excel.

The Analysis ToolPak includes the tools described below. To access these tools, click Data Analysis in the Analysis group on the Data tab. If the Data Analysis command is not available, you need to load the Analysis ToolPak add-in program.

Load the Analysis ToolPak:

Click the File tab, click Options, and then click the Add-Ins category.
In the Manage box, select Excel Add-ins and then click Go.
In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK.

Week 2
Standard Normal Distribution
For this discussion, identify the appropriate application of standardized scores to reflect on their benefits and to interpret how test scores and measures are commonly presented.

Review Chapter 3 of your course text, which introduces probability and the standard normal distribution. Examine the assumptions and limitations presented in these topics and then consider and discuss the following questions:

When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?
What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution?
What is the relationship between z-scores and percentages?
In your opinion, does one do a better job of representing the proportion of the area under the standard curve? Give an example that illustrates your answer.

Week 3
ANOVA
In this discussion, you will evaluate a research question and determine how that question might best be analyzed. To do this, you will need to identify the appropriate application of course specified statistical tests, examine assumptions and limitations of course specified statistical tests, and communicate in writing critiques of statistical tests.

A researcher wishes to study the effect of a new drug on blood pressure. Consider and discuss the following questions as you respond:

Would you recommend using a z-test, a t-test, or an ANOVA for the analysis? Explain your answer.
What would your choice of test depend on? For the test you select, explain your design and your comparison groups.
Would the hypothesis be directional or non-directional?
Would the test be one-tailed or two-tailed?
What would be the null and what would be the alternative hypothesis?

Week 5
Chi-Square
The purpose of this discussion is to allow you to consider how various non-parametric tests are used and how they compare to other tests with similar variables. To do this, you will need to identify the appropriate application of course-specified statistical tests, examine assumptions and limitations of course-specified statistical tests, and communicate in writing critiques of statistical tests.

Describe the chi-square goodness-of-fit test.
Provide a detailed explanation of what this test measures, and how it is similar to and different from the independent t-test and the chi-square test of independence.
How do you know when to use one analysis over the other? Provide a real-world example.

Guided Response: Review your classmates’ posts and respond to at least three of them. Compare the real-world examples identified by two of your classmates with the one you selected and respond substantively. Do you agree or disagree with their analyses of when to use one test over the other?

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