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.