Interpretation of standard deviation values

    • [DOC File]4 - University of Washington

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      Macrocephaly: excessive size of the head, most often more than two standard deviations above the mean. Microcephaly: excessively small head size, most often more than two standard deviations below the mean . Standard deviation: a measure of the width of the amount of variation among the values of a variable in a population [END OF MODULE]

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    • [DOC File]Statistics: interpretation of data, especially the ...

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      The probability distribution for a variable lists the possible values of the variable together with their probabilities. Probabilities distributions are characterized by parameters such as the mean and standard deviation. Letting P(yi) denote the probability of outcome yi for a variable, then the mean of the distribution is Sumi (yi P(yi)).

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    • [DOC File]Standard deviation - 物理學系

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      If the data points are close to the mean, then the standard deviation is small. As well, if many data points are far from the mean, then the standard deviation is large. If all the data values are equal, then the standard deviation is zero. For a population, the standard deviation can be estimated by a modified standard deviation (s) of a sample.

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    • [DOCX File]Describing and Interpreting Data

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      The standard deviation is the average variation of the data values from the mean of the values and is the most commonly used measure of variation. Note that the values for the standard deviation are different for a sample and a population.

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    • [DOC File]Calculating Probability

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      The possible values of X are 0,1,2,…,n. The probability distribution function of X is. Where , and . Notice that . ... In the textbook example, what are the mean number of failures and standard deviation? Interpretation: On average, we would expect to have 2 textbooks that fail the test out of 10 textbooks.

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    • [DOC File]CALCULATING STANDARD DEVIATION WORKSHEET

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      Sep 26, 2015 · Find the standard deviation for the number of baskets scored by the team for the ten games: 8, 4, 6, 6, 7, 7, 9, 4, 8, 5. Follow the steps below to calculate the standard deviation. Step 1: Average the scores in the Score column of the table below in order from the smallest to the largest.

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