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. .

2? if not the correct answer you might need to provide more information

step-by-step explanation:

if you are saying purchasing 3 social media ads and one newspaper ad counts as one purchase then there are:

6 purchases

if you are asking how many of each then:

18 social media ads

6 newspaper ads