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14 Cards in this Set
- Front
- Back
Sampling Distribution |
Specifies probabilities of a value that a statistic can take |
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Standard Error |
Thestandard deviation of a sampling distribution |
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The mean of the sample means is equal tothe __________ |
population mean. μ_y ̅ =μ |
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A _________ is a single number that is the best guess for the parameter. |
point estimate |
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The __________ refers to a particular type of statistic for estimating a parameter and the ___________ refers to its value for a specific sample. |
point estimator point estimate |
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The sample mean and sample proportion are examples of ______________. |
point estimators |
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An _____________ is an interval of numbers around the point estimate, within which the ______________ is believed to fall. |
interval estimate parameter value |
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Becauseinterval estimates contain the parameter with a certain degree of confidence,they are referred to as ___________ |
confidence intervals |
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The probability that this method produces an intervalthat contains the parameter is called the _________________. |
confidence level |
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Quantitative Variables |
We estimate the population mean. |
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Categorical Variables |
We estimate population proportions of the categories. |
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Asthevariability (i.e., spread) in the sampling distribution decreases, the amountof _________ in the estimate decreases |
uncertainty |
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Use Z if |
Pop distribution: Normal, SD: Known Sample size: Any size or Pop Distribution Nonnormal Size: <30 |
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Uze T if |
Population distribution: Normal SD: Unknown Size: Any size |