Exam 7: Sampling and Sampling Distributions

A sampling error is the result of

The sampling distribution of the mean will have the same standard deviation as the original population from which the samples were drawn.

One obvious advantage of stratified sampling is that we obtain separate estimates within each stratum - which we would not obtain if we took a simple random sample from the entire population.A more important advantage is that we can increase the accuracy of the resulting population estimates by using appropriately defined strata.

If systematic sampling is chosen as the sampling technique,it is probably because

A list of all members of the population is called a

The finite population correction factor, ,should generally be used when

A simple random sample is one where each member of the population has a known chance (this may differ from one member to another)or probability of being chosen.

The standard error of the estimate measures how much estimates vary from sample to sample.

The standard error of sample mean is large when the observations in the population are spread out (large ),but that the standard error can be reduced by taking a smaller sample.

The difference between the point estimate and the true value of the population parameter being estimated is called the estimation error.

A probability sample is a sample in which the sampling units are chosen from the population by means of a random mechanism such as a random number table.

The mean of the sampling distribution of always equals:

The theorem that states that the sampling distribution of the sample mean is approximately normal when the sample size n is reasonably large is known as the _____ theorem.

In cluster sampling,the population is divided into subsets called clusters (such as cities or city blocks),and then a random sample of the clusters is selected.Once the clusters are selected,we typically acquire information from all of the members in each selected cluster.

A list of all members of the population from which we can choose a sample is called a frame,and the potential sample members are called sampling units.

The size of a sample can be selected by first determining the desired standard error and then using the formula to calculate n.

In sampling,a population is

Which of the following statements is correct?

The central limit theorem (CLT)is generally valid for

When we sample less than 5% of the population,the finite population correction factor; fpc = ,is used to modify the formula for the standard error of the sample mean.