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Statistics Exam 2024
Mean - ANS-Sum of all scores divided by the number of scores

Median - ANS-Middle score when scores are order (half of scores are above it, half are
below it.

Mode - ANS-The most frequent score

Variance - ANS-variance measures how far each number in the set is from the mean
(average)

Standard deviation - ANS-Average deviation of a value from the mean

Normal distribution - ANS-Bell shaped and symmetrical around the center

Skew - ANS-The symmetry of the distribution

Positive skew - ANS-Scores cluster at the low values with the tail pointing at the high
values

Negative Skew - ANS-Scores cluster at the high values with the tail pointing to low
values

Kurtosis - ANS-The "heaviness" of the tails

Positive Kurtosis - ANS-Heavy tails

Negative Kurtosis - ANS-Light tails

Deviation - ANS-Deviation is the difference between the mean and an actual data point

Sum of squared errors - ANS-Add the squared errors (good measure for overall
variability

Sum of squares, variance, and standard deviation all represent: - ANS-The same thing;
the fit of the mean to the data, the variability in the data, the error