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?
2. What are degrees of freedom? How are they calculated? In statistics, the number of degrees of freedom is the number of values in the final calculation ofa statistic that are free to vary. The…
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