Suppose that the data are sampled from a normally distributed population. Using the empirical rule, what percentage of the data should we expect to be within interval one? Why can't we use Chebychev's inequality to get a useful estimate for the percentage of data expected within interval one?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.3: Measures Of Spread
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10:12 AM Tue Oct 13
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Empirical Rule
c) Suppose that the data are sampled from a normally distributed population.
Using the empirical rule, what percentage of the data should we expect to be
within interval one?
d) Why can't we use Chebychev's inequality to get a useful estimate for the
percentage of data expected within interval one?
e) Suppose the population is normally distributed. If the sample size is n = 200,
then approximately HOW MANY of the observations should be within
interval 2? Please show your work.
%3D
>
Transcribed Image Text:10:12 AM Tue Oct 13 * © 73%| Empirical Rule c) Suppose that the data are sampled from a normally distributed population. Using the empirical rule, what percentage of the data should we expect to be within interval one? d) Why can't we use Chebychev's inequality to get a useful estimate for the percentage of data expected within interval one? e) Suppose the population is normally distributed. If the sample size is n = 200, then approximately HOW MANY of the observations should be within interval 2? Please show your work. %3D >
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