Answered: A workout coach believes that walking…

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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A workout coach believes that walking every day can produce the same health benefits as jogging. Ten volunteers are paired based on significant characteristics, and half of the group is asked to walk every day and half of the group is asked to jog every day. The amounts of weight lost (in pounds) over a 30-day period are recorded in the following table. Construct a 90%90% confidence interval for the true mean difference between the amount of weight lost by jogging and the amount of weight lost by walking. Assume that the population distribution of the paired differences is approximately normal. Round to one decimal place.

Weight Loss (in pounds)

Pair	1	2	3	4	5
Walking	9	8	10	7	5
Jogging	14	13	12	9	10

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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