Standard deviation using empirical rule
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Estimate the mean and standard deviation. 5. Student Heights: The “Heights” data file on the text CD has heights for female and male students (in inches). For males, the mean is 70.9 and the standard deviation is 2.9. For females, the mean is 65.3 and the standard deviation is 3.0. a. Interpret the male heights using the Empirical Rule. b.
[DOCX File]Describing and Interpreting Data
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The standard deviation is found by taking the square root of the variance, and the standard deviation is more useful than the variance in reporting results so it is the measure that is typically reported. ... Evaluate the Eastern Division sales data from the previous example using the Empirical Rule. (Note: Skewness = 0.262)
[DOC File]ATTRIBUTE, CATEGORICAL OR QUALITATIVE DATA
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Empirical Rule. The empirical rule for distributions that are generally bell-shaped (normal) states that: About 68 percent of all data items lie within one standard deviation of the mean (). About 95 percent of all data items lie within two standard deviations of the mean ().
[DOC File]January 13, 2002
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Empirical Rule. is as follows: For certain conditions (which you will discover in this activity): 68% of the data will be located within one standard deviation symmetric to the mean. 95% of the data will be located within two standard deviations symmetric to the mean. 99.7% of the data will be located within three standard deviations symmetric ...
[DOC File]Unit 6 Chapter 7 Normal Distribution
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Using the empirical rule, 68% of the equipment falls in this interval. Using µ = $1500 with a standard deviation σ = $200, between what 2 values does 95 % of the values fall. From the empirical rule this would be µ - 2σ and µ + 2σ. The calculations would be 1500 – 2(200) and 1500 + …
[DOC File]Empirical and Chebyshev’s Rule Review
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The Empirical rule is sometimes called the "68-95-99.7 Rule". Chebyshev’s Rule - valid for. any. data set, it . states the minimum amount of data that will fall within k. standard deviations of the mean. For any number greater than 1, the proportion of data that will fall within . k. standard deviations of the mean is . …
[DOC File]Chebyshev's Inequality : P(
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A score 600 is one standard deviation above the mean. About 32% of those who took the test were more than one standard deviation from the mean, but only 16% of those were higher than 600. Exercise: Let’s confirm the findings on the empirical rule using the z-scores.
[DOC File]CHAPTER 1
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The Empirical Rule says that for a normal curve, approximately 68% of the values fall within 1 standard deviation of the mean in either direction, while 95% of the values fall within 2 standard deviations of the mean in either direction.
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