_____ are frequency distributions that look like a bell that is the result of offsetting random variations.

A) Bivariate joint frequency distributions
B) Central limit distributions
C) Univariate frequency distributions
D) Normal distributions
E) Marginal distributions

Bivariate Joint Frequency Distributions

A statistical analysis method that examines the relationship between two variables by counting the frequency of their joint occurrences.

Central Limit Distributions

A statistical theory that describes how the mean of a sufficiently large sample from a population with finite variance will approximate a normal distribution.

Univariate Frequency Distributions

A statistical method showing how often each value occurs in a dataset, focusing on a single variable.