Which term describes a distribution with a relatively sharp peak?

Which term describes a distribution with a relatively sharp peak?

• A. Leptokurtotic
• B. Platykurtotic
• C. Variance
• D. Z-score

Answer: (A)

Kurtosis describes how peaked a distribution is. A distribution with a relatively sharp peak compared with a normal curve is leptokurtotic. It signals a higher peak (and often heavier tails) than the normal distribution. Platykurtotic describes a flatter-than-normal peak. Variance measures how spread out the data are, not the sharpness of the peak, and a Z-score standardizes a value relative to the distribution, not its shape. So the term that fits a distribution with a sharp peak is leptokurtotic.

Kurtosis describes how peaked a distribution is. A distribution with a relatively sharp peak compared with a normal curve is leptokurtotic. It signals a higher peak (and often heavier tails) than the normal distribution. Platykurtotic describes a flatter-than-normal peak. Variance measures how spread out the data are, not the sharpness of the peak, and a Z-score standardizes a value relative to the distribution, not its shape. So the term that fits a distribution with a sharp peak is leptokurtotic.