Which is true of the kurtosis of a distribution A distributi

Which is true of the kurtosis of a distribution?

A distribution that is flatter than a normal distribution (i.e., thicker tails) is mesokurtic.

A distribution that is more peaked than a normal distribution (i.e., thinner tails) is platykurtic.

It is risky to assess kurtosis if the sample size is less than 50.

The expected range of the kurtosis coefficient increases as n increases.

Solution

A probability distribution with thicker tails than the normal distribution has kurtosis > 3 and it called leptokurtic. So first equation is wrong

When a distribution is less peaked than the normal distribution, it is said to be platykurtic. So second is also false

When we have at least 50 observations then inferences about kurtosis are risky So, the is true.

The expected range of the kurtosis coefficient increases as n increases. It range narows.