Assume that the amount of time people can hold their breath is normally distributed with a mean of 38 seconds and a standard deviation of 8 seconds. Take the time you held your breath (in Module 2) as the "raw score" and calculate the z-score of your time.First try - 69 secondsSecond try - 74 secondsThird try - 52 seconds Look at your height, either on your Driver's License or ID card, or actually measured. Calculate the z-score of your height, based on the mean and standard deviation of the heights of people your gender.My height is 5’10 Take your z-score from question 2, and calculate the height of a person of the opposite gender, if they had your same z-score (NOT your same height).The height is 5’1

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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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Assume that the amount of time people can hold their breath is normally distributed with a mean of 38 seconds and a standard deviation of 8 seconds. Take the time you held your breath (in Module 2) as the "raw score" and calculate the z-score of your time.
1. First try - 69 seconds
2. Second try - 74 seconds
3. Third try - 52 seconds

Look at your height, either on your Driver's License or ID card, or actually measured. Calculate the z-score of your height, based on the mean and standard deviation of the heights of people your gender.
1. My height is 5’10

Take your z-score from question 2, and calculate the height of a person of the opposite gender, if they had your same z-score (NOT your same height).
1. The height is 5’1

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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