1. If the variance for a sample is computed and it is found to be rather large, the scores a. are tightly packed around the mode. b. are tightly packed around the mean. c. are spread out around the mean. d. in the sample are close to one another. 2. The variance can never be a. greater than the standard deviation. b. zero. c. a negative number. d. greater than the mean. 3. If a sample has a small standard deviation, we can say the scores in the sample are a. variable. b. small. c. extreme. d. consistent. 4. Measures of variability are used to a. summarize and describe the extent to which scores in a distribution differ from one another. b. summarize and describe the extent to which scores in a distribution differ from the extreme scores . c. make appropriate decisions regarding graph size, shape, and style. d. summarize and describe measures of central tendency. 5. Standard deviation is defined as the square root of the a. average of the deviations around the mean. b. average of the squared deviations around the mean. c. sum of the deviations around the mean. d. sum of the squared deviations around the mean. 6. Variance is defined as the a. average of the deviations around the mean. b. average of the squared deviations around the mean. c. sum of the deviations around the mean, squared. d. sum of the squared deviations around the mean