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Displays the distribution of a categorical variable. |
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Conveys additional information (five number summary) Identifies outliers |
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to describe the level of certainty in the interval estimate |
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the measure of how confident you are that the interval does, in fact, contain the true parameter value. |
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is the point (or points) on the scale of the test statistic beyond which we reject the null hypothesis, and is derived from the level of significance α of the test. |
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useful for displaying the distribution of relatively small datasets of a quantitative variable. |
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the proportion of times that the event occurs in the simulated repititions of the random process. |
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applies to mound shape data sets, approx. 68% of the observations fall within 1 SD of the mean, approx. 95% fall within 2 SD of the mean, and approx. 100% fall within 3 SD of the mean. |
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the average value by numerical random process |
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minimum value, lower quartile, median, upper quartile, maximum value. |
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Inter Quartile Range (IQR) |
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measure of variability, difference between the lower quartile and upper quartile
(Q3-Q1) |
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value of 25% of the values are less than 75% values |
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the half-width of a confidence interval |
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Mean Absolute Deviation (MAD) |
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proportion of a random event occuring in a random process |
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listing of possible values of a numerical random sample, and probabilities for those values |
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difference between the maximum and minimum values |
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the listing of all possible outcomes |
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a probability distribution of a statistic obtained through a large number of samples drawn from a specific population |
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values of smaple statistics vary from sample to sample |
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random process to simulate the selection of something to get data (surveys, dice, computer program) |
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SD / the square root of population |
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