Probability distribution in which an unequal number of observations lie below (negative skew) or above (positive skew) the mean.

Asymmetry in a distribution of scores. In positively skewed distributions, the tail (the few extreme values) is on the right toward high or positive values. In a negatively skewed distribution, the tail points toward the negative values. [See also continuous distribution, discrete distribution, frequency distribution, Matthew distribution, Pareto distribution

a distribution in which the data is not concentrated around the mean

Any distribution which is not normal, that is not symmetrical along the x-axis

A distribution of scores that is asymmetrical, and the mean, median, and mode are towards the upper end or lower end of a scale.

A distribution that is not symmetrical about its mean, but instead has values concentrated on one side or the other of the mean. If the distribution is concentrated to the left of the mean and is more spread out to the right of the mean (when graphed), the distribution is positively skewed. If the reverse is true, the distribution is negatively skewed

A distribution in which there are a few outlying observations in one direction only. If the outlying observations are small, the distribution is skewed to the left, or negatively skewed; if large, the distribution is skewed to the right, or positively skewed.