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What does Chebyshev's rule say about the percentage of observations that lie within one standard deviation to either side of the mean? Discuss your answer.

Short Answer

Expert verified

Chebyshev’s Theorem estimates the minimum proportion of observations that fall within a specified number of standard deviations from the mean.

Step by step solution

01

Given Information 

We need to discuss about the percentage of observations that lie within one standard deviation to either side of the mean according to Chebyshev's rule.

02

Explanation

Chebyshev's Theorem is used to determine the lowest proportion of observations that fall within a given number of standard deviations from the mean. For a wide range of probability distributions, this theorem holds. Another term for it is Chebyshev's Inequality.

Chebyshev's Theorem can help us figure out where the majority of the data in a value distribution falls. This theorem gives beneficial results when we just have the mean and standard deviation. We don't need to know how our data is distributed.

According to the rule of Chebyshev, at least 1001-1k2%of the data values is within k standard deviations from the mean (k>1).

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In Exercises 3.201-3.206, we have provided simple data sets for you to practice the basics of finding a

a. population mean

b. population standard deviation

3.2051,9,8,4,3

Simple data sets have been given for you to try locating the descriptive metrics mentioned in this section. For each data set separately.

(a) Calculate the quartiles,

(b) calculate the interquartile range

(c)compile a five-number summary.

1,2,3,4,5,6

A quantitative data set has size 80. At least how many observations lie within two standard deviation of the either side?

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