Answered: The mean percent of childhood asthma…

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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Question

The mean percent of childhood asthma prevalence in 43 cities is

2.06%.

A random sample of

of these cities is selected. What is the probability that the mean childhood asthma prevalence for the sample is greater than

2.4%?

Interpret this probability. Assume that

σ=1.28%.

The probability is

nothing.

(Round to four decimal places as needed.)

Interpret this probability. Select the correct choice below and fill in the answer box to complete your choice.

(Round to two decimal places as needed.)

About

nothing%

of samples of

cities will have a mean childhood asthma prevalence greater than

2.4%.

About

nothing%

of samples of

cities will have a mean childhood asthma prevalence greater than

2.06%.

About

nothing%

of samples of 43 cities will have a mean childhood asthma prevalence greater than

2.4%.

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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