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10 Cards in this Set
- Front
- Back
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variability
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provides a quantitative measure of the degree to which scores in a distribution are spread out or clustered together
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range in a distribution
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the distance from the largest score to the smallest score
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interquartile range
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the range covered by the middle 50% of the distribution; Q3 - Q1 = interquartile range
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semi-interquartile range
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half of the interquartile range; (Q3-Q1)/2
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deviation
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distance from the mean; deviation score = X-µ
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population variance
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equals the mean squared deviation; variance is the average squared distance from the mean
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standard deviation
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square root of the variance
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sum of squares (SS)
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the sum of the squared deviation scores
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biased statistic
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the average value either underestimates or overestimates the corresponding population parameter
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unbiased statistic
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the average value of the statistic is equal to the population parameter
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