# Statistics

## 25 terms

### The level of significance

is (1 - confidence level)

### The closer the sample mean is to the population mean,

the smaller the sampling error

### After computing a confidence interval, the user believes the results are meaningless because the width of the interval is too large. Which one of the following is the best recommendation?

Increase the sample size.

### In general, higher confidence levels provide

wider confidence intervals

### Parameters are

numerical characteristics of a population

### Convenience sampling is an example of

nonprobabilistic sampling

### As the sample size increases, the

standard error of the mean decreases

### The sample statistic, such as , s, or , that provides the point estimate of the population parameter is known as

a point estimator

### Cluster sampling is

a probability sampling method

### The absolute value of the difference between the point estimate and the population parameter it estimates is

the sampling error

t distribution

decreases

### In determining the sample size necessary to estimate a population proportion, which of the following information is not needed?

the mean of the population

Type II

null hypothesis

a Type I error

### If a hypothesis is not rejected at the 5% level of significance, it

will also not be rejected at the 1% level

z distribution

### A probability distribution for all possible values of a sample statistic is known as

a sampling distribution

a parameter

a statistic

standard error

a point estimate

### A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as the

central limit theorem

### The purpose of statistical inference is to provide information about the

population based upon information contained in the sample