1. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] is the 50th percentile.
2. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] is the score with the greatest frequency.
3. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] for a distribution is the sum of the scores divided by the number of scores.
4. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] is the distance from the upper real limit of the highest score to the lower real limit of the lowest score.
5. The average squared distance from the mean is called the central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?].
6. A measure of the degree to which the scores in a distribution are clustered together or spread apart is called central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?].
7. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance is the distance from the mean. And, more specifically, the central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] is the distance between the score and the mean.
8. The mean, median, and mode are all measures of central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?].
9. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] is the square root of the variance.
10. The central tendencydeviationdeviation scoremeanmedianmoderangestandard deviationsum of squaresvariabilityvariance[?] is the sum of the squared deviation scores.