A skewed distribution typically has _____ tail(s) and a normal distribution has ____ tail(s).

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Multiple Choice

A skewed distribution typically has _____ tail(s) and a normal distribution has ____ tail(s).

Explanation:
Tails refer to the extreme ends of a distribution. A skewed distribution is not symmetric, so it has one long tail extending in the direction of the skew, while the other side is comparatively short. A normal distribution is symmetric and bell-shaped, with tails stretching on both sides of the center. So the skewed case has one tail, and the normal case has two tails.

Tails refer to the extreme ends of a distribution. A skewed distribution is not symmetric, so it has one long tail extending in the direction of the skew, while the other side is comparatively short. A normal distribution is symmetric and bell-shaped, with tails stretching on both sides of the center. So the skewed case has one tail, and the normal case has two tails.

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