The annual earnings of 12 randomly selected computer software engineers have a sample standard deviation of $3611. Assume the sample is from a normally distributed population. Constr confidence interval for the population variance o2 and the population standard deviation g. Use a 90% level of confidence. Interpret the results. What is the confidence interval for the population variance o2? D (Round to the nearest integer as needed.) nterpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice. Round to the nearest integer as needed.) O A. With 90% confidence, you can say that the population variance is greater than O B. With 90% confidence, you can say that the population variance is between and O C. With 10% confidence, you can say that the population variance is between O D. With 10% confidence, you can say that the population variance is less than and What is the confidence interval for the population standard deviation o? ID (Round to the nearest integer as needed.) nterpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice. Round to the nearest integer as needed.) O A. With 10% confidence, you can say that the population standard deviation is greater than 2$ O B. With 90% confidence, you can say that the population standard deviation is betwe and $- O C. With 10% confidence, you can say that the population standard deviation is between $ O D. With 90% confidence, you can say that the population standard deviation is less ti and $

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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The annual earnings of 12 randomly selected computer software engineers have a sample standard deviation of $3611.

Assume the sample is from a normally distributed population. Construct a confidence interval for the population variance σ2 and the population standard deviation σ.

Use a 90% level of confidence. Interpret the results.

The annual earnings of 12 randomly selected computer software engineers have a sample standard deviation of $3611. Assume the sample is from a normally distributed population. Construct a
confidence interval for the population variance o2 and the population standard deviation o. Use a 90% level of confidence. Interpret the results.
What is the confidence interval for the population variance o?
( . ) (Round to the nearest integer as needed.)
Interpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice.
(Round to the nearest integer as needed.)
O A. With 90% confidence, you can say that the population variance is greater than
B. With 90% confidence, you can say that the population variance is between
and
O C. With 10% confidence, you can say that the population variance is between
D. With 10% confidence, you can say that the population variance is less than
and
What is the confidence interval for the population standard deviation o?
(| ) (Round to the nearest integer as needed.)
Interpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice.
(Round to the nearest integer as needed.)
O A. With 10% confidence, you can say that the population standard deviation is greater than
$
B. With 90% confidence, you can say that the population standard deviation is between $
and $
D. With 90% confidence, you can say that the population standard deviation is less than
$
O C. With 10% confidence, you can say that the population standard deviation is between $
and $

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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