# Multiple Choice Quizzes

Take the quiz test your understanding of the key concepts covered in the chapter. Try testing yourself before you read the chapter to see where your strengths and weaknesses are, then test yourself again once you’ve read the chapter to see how well you’ve understood.

1; What is skewness?

1. A pointy distribution
2. A flat distribution
3. Lack of symmetry of a distribution
4. A platykurtic distribution

c. Lack of symmetry of a distribution

2. What happens if you raise a variable to a power (p) < 1

1. We will reduce negative skew
2. The data will stay the same
3. We will reduce positive skew
4. We will make a flat distribution pointy

c. We will reduce positive skew

3. What does robust regression do?

1. Performs an OLS regression with more trustworthy standard errors
2. It gives a weight to each unit based on their distance from the mean of Y
3. Performs three types of regression analysis and present the mean results
4. It gives a weight to each unit based on their total influence on the model

d. It gives a weight to each unit based on their total influence on the model

4. Which one of the following methods is recommended to use when running an analysis with missing data?

1. Pairwise deletion
2. Multiple imputation
3. Single imputation

b. Multiple imputation

5. What does multiple imputation do?

1. Removes any observation that has missing on one or more of the variables in the model
2. Uses information from all values from other variables to predict values on variable(s) with low N
3. Calculations are based on all available data pairwise for all pairs of variables
4. Inserts a new value for all missing observations in a variable (e.g., 0 or the mean), as well as including a dummy variable coded 1 if the original data is missing