- From Jackson (2016): even-numbered Chapter exercises for Ch. 8 and 10 (p. 223-224; 274-275)
- What are degrees of freedom? How are they calculated?
- What do inferential statistics allow you to infer?
- Compare and contrast parametric and nonparametric statistics. Why and in what types of cases would you use one over the other?
- Why is it important to pay attention to the assumptions of the statistical test? What are your options if your dependent variable scores are not normally distributed?
- What does p = .05 mean? What are some misconceptions about the meaning of p =.05? Why are they wrong? Should all research adhere to the p = .05 standard for significance? Why or why not?
- Compare and contrast the concepts of effect size and statistical significance.
- What is the difference between a statistically significant result and a clinically or "real world" significant result? Give examples of both.
- What is NHST? Describe the assumptions of the model.
- Describe and explain two alternatives to NHST. What do their proponents consider to be their advantages?
- Which type of analysis would best answer the research question for your stated topic of interest? Justify your answer.
- Length: 5-7 pages
References: include at least 3-5 resources.