Why is a typical distribution of self-esteem scores considered to be a unimodal distribution?

In a typical unimodal distribution of self-esteem scores, the frequency of scores changes as you move from the center of the distribution toward the ends. Arrange the following regions of the distribution in order from the highest frequency of scores to the lowest frequency of scores.

Match each researcher's observation of self-esteem data to the corresponding feature of a typical unimodal distribution.

True or False: For a distribution of self-esteem scores to be considered unimodal, the frequency of scores must decrease at an identical, symmetrical rate as they move away from the single central peak toward either extreme.

A psychologist is developing a statistical simulation designed to model the typical unimodal distribution of self-esteem scores. Which design plan should the researcher implement to correctly synthesize a dataset that reflects this specific distribution?

A typical distribution of self-esteem scores is classified as a unimodal distribution because it features two distinct peaks.

A researcher is asked to judge whether a frequency distribution of self-esteem scores that reaches a single maximum frequency at a score of $35$ should be classified as unimodal, despite having asymmetrical tails. The researcher correctly determines that the label is appropriate because the defining criterion for a(n) _____ distribution is the presence of one distinct peak, rather than the symmetry of the data.