A) ___ miles (Identify the margin error)B) Construct a 99% confidence interval for the population mean = ___?C) With ___% confidence, it can be said that the population mean driving distance to work ( in miles) is between the intervals endpoints. In a random sample of five people, the mean driving distance to work was 24.8 miles and the standard deviation was 7.9 miles. Assuming the population is normally distributed and using the t-distribution, a 95% confidence interval for thepopulation mean u is (15.0, 34.6) (and the margin of error is 9.8). Through research, it has been found that the population standard deviation of driving distances to work is 8.4. Using the standard normal distribution with the appropriatecalculations for a standard deviation that is known, find the margin of error and construct a 95% confidence interval for the population mean µ. Interpret and compare the results.

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Answered: In a random sample of five people, the…

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) ___ miles (Identify the margin error)

B) Construct a 99% confidence interval for the population mean = ___?

C) With ___% confidence, it can be said that the population mean driving distance to work ( in miles) is between the intervals endpoints.

In a random sample of five people, the mean driving distance to work was 24.8 miles and the standard deviation was 7.9 miles. Assuming the population is normally distributed and using the t-distribution, a 95% confidence interval for the
population mean u is (15.0, 34.6) (and the margin of error is 9.8). Through research, it has been found that the population standard deviation of driving distances to work is 8.4. Using the standard normal distribution with the appropriate
calculations for a standard deviation that is known, find the margin of error and construct a 95% confidence interval for the population mean µ. Interpret and compare the results.

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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