I dont know how to find the (Zc) and locate to the Standard normal Distribution? I understand the formula is E=Zc o/n, but each answer I submit is incorrect. In a random sample of seven people, the mean driving distance to work was 21.4 miles and the standard deviation was 6.8 miles. Assuming the population is normally distributed and using the t-distribution, a 99% confidence intervalfor the population mean u is (11.9, 30.9) (and the margin of error is 9.5). Through research, it has been found that the population standard deviation of driving distances to work is 5.8. Using the standard normal distribution with theappropriate calculations for a standard deviation that is known, find the margin of error and construct a 99% confidence interval for the population mean u. Interpret and compare the results.Identify the margin of error.(Round to one decimal place as needed.)

Using Excel formula “=NORM.S.INV(1-(0.01/2))”, the critical value for 99% confidence level is…

Answered: Identify the margin of error.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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I dont know how to find the (Zc) and locate to the Standard normal Distribution? I understand the formula is E=Zc o/n, but each answer I submit is incorrect.

In a random sample of seven people, the mean driving distance to work was 21.4 miles and the standard deviation was 6.8 miles. Assuming the population is normally distributed and using the t-distribution, a 99% confidence interval
for the population mean u is (11.9, 30.9) (and the margin of error is 9.5). Through research, it has been found that the population standard deviation of driving distances to work is 5.8. Using the standard normal distribution with the
appropriate calculations for a standard deviation that is known, find the margin of error and construct a 99% confidence interval for the population mean u. Interpret and compare the results.
Identify the margin of error.
(Round to one decimal place as needed.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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