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Cluster sampling is

a probability sampling method.

The sample mean is the point estimator of

μ

The sample statistic s is the point estimator of

σ.

As the sample size increases, the margin of error

decreases

The value added to and subtracted from a point estimate in order to develop an interval estimate of the population parameter is known as the

margin of error.

The extent of the sampling error might be affected by all of the following factors except the

number of previous samples taken.

Parameters are

numerical characteristics of a population.

What is the single numerical value used as an estimate of a population parameter known as?

point estimate

The purpose of statistical inference is to provide information about the

population based upon information contained in the sample.

Which of the following is a point estimator?

s

A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____ sampling.

systematic

A simple random sample from an infinite population is a sample selected such that

each element is selected independently and from the same population.

If we change a 95% confidence interval estimate to a 99% confidence interval estimate, we can expect the

width of the confidence interval to increase.

Which of the following statements about cluster sampling is false?

It generally requires a smaller total sample size than simple random sampling.

In interval estimation, as the sample size becomes larger, the interval estimate

becomes narrower.

Which of the following sampling methods does not lead to probability samples?

convenience sampling

In point estimation,

data from the sample is used to estimate the population parameter.

The sampling error is the

difference between the value of the sample mean and the value of the population mean.

An estimate of a population parameter that provides an interval of values believed to contain the value of the parameter is known as the

interval estimate.

Which of the following is an example of nonprobability sampling?

judgment sampling

Convenience sampling is an example of _____ sampling.

nonprobability

For the interval estimation of μ when σ is known and the sample is large, the proper distribution to use is the

normal distribution.

In stratified random sampling,

randomly selected elements within each of the strata form the sample.

What is a subset of a population selected to represent the population called?

sample