Step 1

We are given 5 examples from which we have to identify examples of sampling distributions.

First need to know what is mean by sampling distribution.

Step 2

The sampling distribution of a statistic is the distribution of the statistic for all possible samples from the same population of a given size.

It can also be defined as, the sampling distribution of a statistic is the distribution of that statistic, considered as a random variable, when derived from a random sample of size n

Step 3

Therefore, to identify sampling distribution, we first need sampling size for that distributions.

From given examples, only two examples having given sample size.

Hence,

Mean trout lengths based on samples of size 5

Average male height based on samples of size 30

These two are examples of sampling distribution.

We are given 5 examples from which we have to identify examples of sampling distributions.

First need to know what is mean by sampling distribution.

Step 2

The sampling distribution of a statistic is the distribution of the statistic for all possible samples from the same population of a given size.

It can also be defined as, the sampling distribution of a statistic is the distribution of that statistic, considered as a random variable, when derived from a random sample of size n

Step 3

Therefore, to identify sampling distribution, we first need sampling size for that distributions.

From given examples, only two examples having given sample size.

Hence,

Mean trout lengths based on samples of size 5

Average male height based on samples of size 30

These two are examples of sampling distribution.