What percent of items lie within 2.20 standard deviations of the mean (a) in any distribution (using the results of Chebyshev's theorem)? (b) in a normal distribution (using a table)? Click here to see page 1 of the table for areas under the standard normal curve. Click here to see page 2 of the table for areas under the standard normal curve. ..... %. (a) The percent of items that lie within 2.20 standard deviations of the mean in any distribution is at least (Round to the nearest tenth as needed.) %. (b) The percent of items that lie within 2.20 standard deviations of the mean in a normal distribution is (Round to the nearest tenth as needed.)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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What percent of items lie within 2.20 standard deviations of the mean
(a) in any distribution (using the results of Chebyshev's theorem)?
(b) in a normal distribution (using a table)?
Click here to see page 1 of the table for areas under the standard normal curve.
Click here to see page 2 of the table for areas under the standard normal curve.
%.
(a) The percent of items that lie within 2.20 standard deviations of the mean in any distribution is at least
(Round to the nearest tenth as needed.)
%.
(b) The percent of items that lie within 2.20 standard deviations of the mean in a normal distribution is
(Round to the nearest tenth as needed.)
Transcribed Image Text:What percent of items lie within 2.20 standard deviations of the mean (a) in any distribution (using the results of Chebyshev's theorem)? (b) in a normal distribution (using a table)? Click here to see page 1 of the table for areas under the standard normal curve. Click here to see page 2 of the table for areas under the standard normal curve. %. (a) The percent of items that lie within 2.20 standard deviations of the mean in any distribution is at least (Round to the nearest tenth as needed.) %. (b) The percent of items that lie within 2.20 standard deviations of the mean in a normal distribution is (Round to the nearest tenth as needed.)
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