Mathematics

Mathematics, 01.09.2019 03:30, ralgjl

According to the empirical rule, for a distribution that is symmetrical and bell-shaped (in particular, for a normal distribution) approximately how much of the data values will lie within two standard deviations on each side of the mean?

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Mathematics, 18.09.2019 04:00, gennhill14

According to the empirical rule, if the data form a "bell-shaped" normal distribution, approximately percent of the observations will be contained within 3 standard deviations around the mean.

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Business, 06.10.2019 09:00, gabriella1232002

The empirical rule states if an distribution is symmetrical and bell-shaped, approximately 95%, and 99.7% of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.

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Mathematics, 03.11.2019 03:31, cmfield9014

Chebyshev's theorem and the empirical rule there are dozens of personality tests available on the world wide web. one test, scored on a scale of 0 to 200, is designed to give an indication of how "personable" the test taker is, with higher scores indicating more "personability." suppose that scores on this test have a mean of 104 and a standard deviation of 20. complete the following statements about the distribution of scores on this personality test. of the scores lie (a) according to chebyshev's theorem, at least? between 64 and 144 (b) according to chebyshev's theorem, at least 36% of the scores lie between and .(round your answer to the nearest integer.) (c) suppose that the distribution is bell-shaped. according to the empirical rule, approximately 99.7% of the scores lie between and. ? (d) suppose that the distribution is bell-shaped. according to the empirical of the scores lie between 64 and 144 rule, approximately ?

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Mathematics, 05.11.2019 03:31, dee4648

Select the statements that describe a normal distribution. a. the density curve is symmetric and bell‑shaped. b.the normal distribution is a continuous distribution. c.the normal distribution is a discrete distribution. d.the density curve is a flat line extending from the minimum value to the maximum value. approximately 32% of values fall more than one standard deviation from the mean. two parameters define a normal distribution—the median and the range.

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