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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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Think about a population mean that you may be interested in and propose a hypothesis test problem for this parameter. you may believe that the population mean number of times that adults gas up their vehicles each week is less than 2.5. data could be that you spoke with 7 people and found that they went out 2, 3, 1, 4, 2, 1, and 5 times last week. You then would choose to test this hypothesis at the .05 (or another) significance level. Assume a random sample.

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 + ...

Expert Solution

Step 1

For the given problem, the population mean $(μ)$ is 2.5.

The data(sample) is said to be on 7 people i.e. n=7.

The sample mean is the average of the sample. Thus,

sample mean $(\bar{x)}$ = $\frac{2 + 3 + 1 + 4 + 2 + 1 + 5}{7}$

=2.57

The standard deviation $(σ)$ of the sample is $\sqrt{\frac{1}{n} \underset{i}{\sum (} x i - {\bar{x)}}^{2}}$

= $\sqrt{\frac{1}{7} [{(2 - 2.57)}^{2} + {(3 - 2.57)}^{2} + {(1 - 2.57)}^{2} + {(4 - 2.57)}^{2} + {(2 - 2.57)}^{2} + {(1 - 2.57)}^{2} + {(5 - 2.57)}^{2}]}$

=( $\sqrt{\frac{1}{7} (0.3249 + 0.1849 + 2.4649 + 2.0449 + 0.3249 + 2.4649 + 5.9049}$ )

=1.3995

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