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| 1 | |
Discuss the "logic behind inferential statistics." Specifically, how does an inferential statistic allow you to make inferences about the population or populations from which your samples are drawn? |
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| 2 | |
Discuss the role of statistical errors in decision making. Define the two types of errors and how each might be controlled. |
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| 3 | |
Compare and contrast parametric and nonparametric statistics. |
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| 4 | |
Compare and contrast one-tailed and two-tailed statistics. What factors affect your decision to use one over the other? How does your decision influence the probability of obtaining a statistically significant effect? |
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| 5 | |
Outline the steps that you would take when using an ANOVA to analyze data from a two-factor experiment. In your answer, indicate how you would analyze a significant interaction, when you would use an unweighted versus weighted means analysis, and when you would use planned versus unplanned comparisons. |
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| 6 | |
Discuss when you would use chi-square to analyze your data. In your answer, discuss the limitations of chi-square. |
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| 7 | |
What is power, why is it important, and what affects it? |
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| 8 | |
What does a large effect size indicate? A small one? |
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| 9 | |
Compare and contrast practical and statistical significance. |
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| 10 | |
What are data transformations, and when would you use them? |
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