### 32 terms by Lindsayhaydon

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### sampling frame

a listing of items that make up the population

### Frames

data sources such as population lists, directories, or maps

### Inaccurate or biased results can result if

a frame excludes certain portions of the population

### convenience sampling

items are selected based only on the fact that they are easy, inexpensive, or convenient to sample

### judgment sample

you get the opinions of pre-selected experts in the subject matter

### nonprobability sample

items included are chosen without regard to their probability of occurrence.

### probability sample

items in the sample are chosen on the basis of known probabilities

### Simple random sample and Systematic sample

1. Simple to use
2. May not be a good representation of the population's underlying characteristics

### Stratified sample

Ensures representation of individuals across the entire population

### Cluster sample

1. More cost effective
2. Less efficient (need larger sample to acquire the same level of precision)

### Coverage error or selection bias

Exists if some groups are excluded from the frame and have no chance of being selected

### Non response error or bias

People who do not respond may be different from those who do respond

### Sampling error

Variation from sample to sample will always exist

### Measurement error

Due to weaknesses in question design, respondent error, and interviewer's effects on the respondent

### sampling distribution

is a distribution of all of the possible values of a sample statistic for a given size sample selected from a population

### Different samples of the same size from the same population will yield

different sample means

### Standard Error of the Mean

A measure of the variability in the mean from sample to sample

### standard error of the mean decreases

as the sample size increases

### As the sample size gets large enough...(Central Limit Theorem)

the sampling distribution becomes almost normal regardless of shape of population

True

### For sample size 16, the sampling distribution of the mean will be approximately normally distributed

if the shape of the population is symmetrical.

true

### For sample size 1, the sampling distribution of the mean will be normally distributed

only if the population is normally distributed.

True

### types of samples can you use if you want to make valid statistical inferences from a sample to a population?

A probability sample

False

False

True

False

True

True

False

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