For this discussion, you will discuss your future career and how statistical analysis may be used in that field
Career Connection
Prior to beginning work on this discussion forum, read Chapter 1 and Chapter 2 in your course textbook, the Week 1 Instructor Guidance, and review the Help Need Article (Links to an external site.) tutorial on how to find articles in the library and the Module 2: Describing Data video.
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For this discussion, you will discuss your future career and how statistical analysis may be used in that field. In the University of Arizona Global Campus Library, find a peer-reviewed research study relevant to your chosen career and that presents statistical information to answer the research question.
For your initial post,
State your future career and discuss how statistical analysis may be used in that field. What types of projects might involve statistical analysis in your future career?
Summarize the article’s content and point out any statistical procedures you recognize from this week’s reading.
What research question did the authors investigate?
What variables did they use?
Did the article include any graphs or charts?
If so, what types were they? Did they help you to understand the information better? Why or why not?
Is this article something that will be helpful in your future career? If so, how?
PSY325 Statistics for the Behavioral & Social Sciences
Week 2 Discussion
Chi-Square Tests and Examples
Prior to beginning work on this discussion forum, read the Instructor Guidance for Week 2; Chapter 10 in the textbook; pages 109 to 120 in Chapter 7 of the Jarman e-book; the Chi-Square Test, The Chi-Square Test: Often Used and More Often Misinterpreted, The Chi-Square Test of Independence, How to Chi-Square Test (Links to an external site.), and How to Interpret Chi-Squared (Links to an external site.) articles; watch the Two-Way Tables, Chi-Square Tests: Crash Course Statistics #29 (Links to an external site.), Chi-Square Test for Association (Independence) | AP Statistics | Khan Academy (Links to an external site.), and Chi-Square: Lecture 11 videos.
The purpose of this discussion is to allow you to consider how nonparametric tests are used and how two types of chi-square tests compare. To do this, you will need to explain statistical concepts and assess assumptions, limitations, and implications associated with statistical tests.
For your initial post,
Describe the chi-square goodness-of-fit test. Explain what this test measures.
Explain how the chi-square goodness-of-fit test is similar to and different from a simple frequency distribution.
Describe the chi-square test of independence. Explain what this test measures and how it is similar to and different from the chi-square goodness-of-fit test.
How do you know when to use one analysis over the other?
Provide a real-world example in which either a goodness-of-fit test or a test of independence should be used.
PSY325 Statistics for the Behavioral & Social Sciences
Week 3 Discussion
Standard Normal Distribution
For this discussion, identify the appropriate application of standardized scores to reflect on their benefits and interpret how test scores and measures are commonly presented.
Prior to beginning work on this discussion, read the Instructor Guidance for Week 3 and Chapter 3 of your course text, which introduces probability and the standard normal distribution. Also review the required videos for this week: The Shape of Data: Distributions: Crash Course Statistics #7 (Links to an external site.), Z-Scores and percentiles: Crash Course Statistics #18 (Links to an external site.), and The Normal Distribution: Crash Course Statistics #19 (Links to an external site.). It will also be helpful to review Section 2.3 in the textbook about 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 transforming data from multiple distributions to the standard normal distribution?
What is the relationship between z scores and percentages?
Give an example of a variable likely to be normally distributed in the population and explain how z scores pertaining to that variable would be useful in a real-life situation.
PSY325 Statistics for the Behavioral & Social Sciences
Week 4 Discussion
Recommend a Test
Prior to beginning work on this discussion forum, read Chapter 6 and Chapter 7 in the course text, Chapter 6 and pages 129 to 142 in Chapter 8 of the Jarman e-book, the Instructor Guidance for Week 4, and watch the ANOVA: Crash Course Statistics #33 (Links to an external site.) and ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34 (Links to an external site.) videos. You may also wish to review the information about inferential statistics from Week 3. 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 explain statistical concepts and assess assumptions, limitations, and implications associated with statistical tests.
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A researcher wishes to study the effect of cognitive behavior therapy on young people diagnosed with depression. 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 nondirectional?
Would the test be one or two tailed?
How would the null and alternative hypotheses be worded?
PSY325 Statistics for the Behavioral & Social Sciences
Week 5 Discussion
Correlation
Prior to beginning work on this discussion forum, read Chapter 8 in the course textbook and the Instructor Guidance for Week 5 and review the Correlation Doesn’t Equal Causation: Crash Course Statistics #8 (Links to an external site.) and The Danger of Mixing Up Causality and Correlation: Ionica Smeets at TEDxDelft (Links to an external site.) videos. In this post, you will be challenged to look at how statistical tests, such as correlation, are commonly used and the possible limitations of such analyses. Additionally, you will need to explain statistical concepts; accurately interpret results of statistical tests; and assess assumptions, limitations, and implications associated with statistical tests.
Much has been written about the relationship between students’ SAT test scores and their family’s income. Generally speaking, there is a strong positive correlation between income and SAT scores. Consider and discuss the following questions as you respond:
What does this correlation tell you?
Is this correlation evidence that having a high family income causes one to have high SAT scores?
Is this correlation evidence that high SAT scores cause higher income? Or does this tell you something else? Explain your answer.
Explain why correlation alone is rarely sufficient to demonstrate cause.
Provide a personal example of two variables that may be correlated but not have a cause and effect relationship. Identify what type of bivariate correlation is involved, based on the measurement scales of the variables.
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