Asampling distribution for a sample mean is made up of many from many from a population. the distribution is centered at the the standard deviation of all the sample means is called the

Step-by-step explanation:

Given is a statement with fill in the blanks and we are to fill up them suitably.

Recollect central limit theorem that states that the mean of all sample means will follow a normal distribution irrespective of the original distribution of the sample provided the samples are drawn at random and for large sample sizes.

Using that we can say that

A sampling distribution for a sample mean is made up of many __sample means calculated from many random samples from a population. The distribution is centered at the mean of sample mean . The standard deviation of all the Sample Means is called the Standard error. .

dalila is incorrect. the whisker on the left is very long, going all the way out to 5. the whisker goes from 5 to 30, so it has a spread of 25. the rest of the box plot values are closer together, so 5 is an outlier

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step-by-step explanation: