The overall shape of the distribution (e.g., uniform, symmetrical, skewed, unimodal, bimodal, bell-shaped, normal).
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t distribution
T distribution is a probability distribution that is very similar but slightly more variable than the normal distribution. The t distribution has a slightly different shape depending on the degrees of freedom used to estimate . And for very large ...
z distribution
Z distribution is also called normal distribution or bell-shaped distribution; unimodal, symmetrical, most scores clumped in the center, few scores far away from center; this is a frequently used probability distribution; the shape of the z ...
normal distribution
Normal distribution is unimodal, symmetrical, mostly scores clumped in the center, few scores far away from center; also known as bell-shaped distribution; this is a frequently used probability distribution; the shape of the normal distribution ...
F-Distribution
The F-Distribution is a probability distribution that models the sampling distribution of F under the empty model (the null hypothesis that there is no effect of the explanatory variable); this theoretical distribution takes into account both model ...
sample distribution
When sampled data—units that were selected and measured—are shown in such a way where we can see patterns of variation (such as shape, center, and spread); sample distributions can be seen in visualizations such as histograms, boxplots, etc. but also ...