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10 Cards in this Set
- Front
- Back
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Parameter |
a number that describes a population. To estimate an unknown parameter, use a statistic calculated from a sample. |
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population distribution of a variable |
describes the values of the variable for all individuals in the population. |
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Sampling distribution |
describes the values of the statistic in all possible samples of the same size from the sample population. |
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Don't confuse the sampling distribution with a distribution of sample data, which gives the values of the variable for BLANK individuals in a sample. |
all |
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A statistic can be BLANK or a BLANK of a parameter |
unbiased estimator or a biased estimater |
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Biased estimator |
the center (mean) of the sampling distribution is not equal to the true value of the parameter. |
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The variability of a statistic is described by: |
the spread of its sampling distribution. |
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Larger samples give BLANK |
smaller spread |
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When trying to estimate a parameter choose a BLANK with low or no bias and minimum variability. |
statistic |
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Don't forget to consider the BLANK of the sampling distribution before doing inference. |
shape |
