A normal distribution is best described as.

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Multiple Choice

A normal distribution is best described as.

Explanation:
The main idea here is the shape and symmetry of a normal distribution. A normal distribution is a bell-shaped curve that is symmetric around its center, so there is no skew to either side. Most of the data pile up near the center, and the probabilities decrease smoothly as you move away from the center. Because of this symmetry, the mean, median, and mode are all the same value. This distinguishes it from distributions that are skewed, flat (uniform), or have two peaks (bimodal).

The main idea here is the shape and symmetry of a normal distribution. A normal distribution is a bell-shaped curve that is symmetric around its center, so there is no skew to either side. Most of the data pile up near the center, and the probabilities decrease smoothly as you move away from the center. Because of this symmetry, the mean, median, and mode are all the same value. This distinguishes it from distributions that are skewed, flat (uniform), or have two peaks (bimodal).

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