Читать книгу Student Study Guide to Accompany Statistics Alive! - Wendy J. Steinberg - Страница 14

1 A measure of central tendency provides a single value that is considered highly representative of a distribution.

2 The mean is always the optimal measure of central tendency.

3 Each measure of central tendency (mean, median, and mode) can be found in the exact center of all distributions.

4 The mode is a highly stable measure of central tendency.

5 The numbers of scores falling above and below the median are always equal.

6 The median is the score that occurs at the 50th percentile rank.

7 One of the reasons why the mean is considered a strong measure of central tendency is that it includes every score in its computation.

8 The total distance of the scores below the mean will always be equal to the total distance of the scores above the mean.

9 In a positively skewed distribution, you can expect all measures of central tendency to be equal.

10 There is no best single measure of central tendency to describe a bimodal distribution.

11 Outliers are scores close to the mean.

12 Multiple outliers of different values will heavily influence the mode.

13 The median is considered to be a better measure of central tendency in a skewed distribution.

14 When describing a distribution with bimodal data, you should report both modes.

15 In a negatively skewed distribution, you can expect that mean > median > mode.