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NO PLAGIARISM
1. What is skewness? What is the difference between positively and negatively skewed data?
2. The shape of a distribution has important implications for determining whether to use the mean, median, or mode. What are characteristics of a normal, skewed, or bimodal distributions? You can use visuals to illustrate your points.
3. What does the word frequency mean? What does N stand for? How do these terms differ from percentage or proportion?
4. What is the central limit theorem? What are two principles of the central limit theorem?
5. In the attached outliers article, Osborne & Overbay (2004) discuss outliers and why researchers should check for them. Describe the main causes for outliers. Give an example of an univariate outlier in your area of expertise (MUST be Psychology or I/O Psychology to obtain credit)