Answered: Part 1 A population of values has a…

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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Part 1

A population of values has a normal distribution with μ=135.9 and σ=18.1. You intend to draw a random sample of size n=96.

Find P₆₁, which is the score separating the bottom 61% scores from the top 39% scores.
P₆₁ (for single values) =

Find P₆₁, which is the mean separating the bottom 61% means from the top 39% means.
P₆₁ (for sample means) =

Part 2

The town of KnowWearSpatial, U.S.A. operates a rubbish waste disposal facility that is overloaded if its 5030 households discard waste with weights having a mean that exceeds 26.49 lb/wk. For many different weeks, it is found that the samples of 5030 households have weights that are normally distributed with a mean of 26.23 lb and a standard deviation of 12.49 lb.

What is the proportion of weeks in which the waste disposal facility is overloaded?
P(M > 26.49) =

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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