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Definition
| As sample size gets large enough, sampling distribution is approximately normal. This is true regardless of the dist. of indiv. values. At least 30 values. |
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Term
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Definition
| Dividing the N items in the frame into several clusters so that ceach cluster is representative of the entire population. Clusters are natrually occurring designations, such as counties, election districts, city blocks, households, or sales territories. |
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Term
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Definition
| If certain groups of items are excluded from the frame so that they can have no chance of being selected in the sample. Results in selection bias. |
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Term
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Definition
| A listing of the items that make up the population |
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Term
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Definition
| Getting the opinions of preselected experts in the subject matter |
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Definition
| Such as ambiguous wording, Hawthorne effect, and respondent error. |
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Term
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Definition
| Failure to collect data on all items in the sample and results in a nonresponse bias. |
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Term
| Sampling distribution of the mean |
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Definition
| The distribution of all posssible sample means if you select all possible samples of a given size |
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Term
| Sampling distribution of the proportion |
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Definition
| Follows the binomial distribution. You can use normal distribution to approx. the binomial when n*pi and n(1-pi) are each at least 5. |
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Term
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Definition
| Reflects the variation or "chance differences" from sample to sample. |
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Term
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Definition
| The mean of all the possible sample means (of a given sample size, n) is equal to the population mean |
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