Answered: Data lists full IQ scores for a random…

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

Data lists full IQ scores for a random sample of subjects with low lead levels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are summarized below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels in their blood is higher than those with high lead levels in their blood. Let u1 represent a low lead level.

Low lead Level : n=25

x= 91.90476

s= 9.988352

Higher Lead Level: n= 74

x= 89.89462

s= 12.34451

Answer choice:

A. One is 95% confidence that the true difference is mean is in the interval (-2.929, 6,9488) and since zero is contained in the interval we fail to reject the null hypothesis.

B. One is 95% confident that the true mean of the low lead levels is between (-2.929, 6,9488) and since zero is contained in the interval we fail to reject the null hypothesis.

C. One is 95% confident that the true difference in mean is in the interval (-2.929, 6,9488) and since zero is contained in the interval we reject the null hypothesis.

D. One is 95% confident that the true mean of the low lead levels is between (-2.929, 6,9488) and since zero is contained in the interval we reject the null hypothesis.

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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