MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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At one point the average price of regular unleaded gasoline was $3.44 per gallon. Assume that the standard deviation price per gallon is
$0.06
per gallon and use Chebyshev's inequality to answer the following.(a) What percentage of gasoline stations had prices within
mean ?
3
standard deviations of the (b) What percentage of gasoline stations had prices within
1.5
standard deviations of the mean? What are the gasoline prices that are within
1.5
standard deviations of the mean?(c) What is the minimum percentage of gasoline stations that had prices between
$3.20
and
$3.68?
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- In December 2018, the average price of regular unleaded gasoline excluding taxes in the United States was $3.06 per gallon. Assume that the standard deviation price per gallon is $0.08per gallon and use Chebyshev's Inequality to answer the following. (a) What minimum percentage of gasoline stations had prices within 4 standard deviations of the mean? (b) What minimum percentage of gasoline stations had prices within 2.5 standard deviations of the mean? What are the gasoline prices that are within 2.5 standard deviations of the mean? (c) What is the minimum percentage of gasoline stations that had prices between $2.90and $3.22?arrow_forward9a. For binomially distributed data set, approximately what proportion would be below the mean and also within one standard deviation? 16.5%,25%,33%,50%,66%arrow_forwardB Choosing a topic Sk.. For data that is not normally distributed we can't use z-scores. However, there is an equation that works on any distribution. It's called Chebyshev's formula. The formula 1 where p is the minimum percentage of scores that fall within k k2 is p = 1 - standard deviations on both sides of the mean. Use this formula to answer the following questions. a) If you have scores and you don't know if they are normally distributed, find the minimum percentage of scores that fall within 2.2 standard deviations on both sides of the mean? b) If you have scores that are normally distributed, find the percentage of scores that fall within 2.2 standard deviations on both sides of the mean? c) If you have scores and you don't know if they are normally distributed, how many standard deviations on both sides of the mean do we need to go to have 64 percent of the scores? Note: To answer part c you will need to solve the equation for k.arrow_forward
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