mean of female height= 163.65Standard deviation femal height= 7.91do parts A-E mean= 163.65standard diviation=7.914. Assuming that those mean and standard deviation are good approximations of the populationmean and standard deviation, compute(a) The probability that someone in the population your sample is drawn from has a height within3 inches of the mean.(b) The probability that someone in the population is greater than 72 inches tall(c) The probability that someone in the population is between 60 and 70 inches tall.(d) Consider two people randomly drawn from your population independently, what's the prob-ability they're both between 60 and 65 inches tall.(e) What's the probability either one is between 60 and 65 inches tall?

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Answered: mean= 163.65 standard diviation= 7.91…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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mean of female height= 163.65

Standard deviation femal height= 7.91

do parts A-E

mean= 163.65
standard diviation=
7.91
4. Assuming that those mean and standard deviation are good approximations of the population
mean and standard deviation, compute
(a) The probability that someone in the population your sample is drawn from has a height within
3 inches of the mean.
(b) The probability that someone in the population is greater than 72 inches tall
(c) The probability that someone in the population is between 60 and 70 inches tall.
(d) Consider two people randomly drawn from your population independently, what's the prob-
ability they're both between 60 and 65 inches tall.
(e) What's the probability either one is between 60 and 65 inches tall?

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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