29. Bob draws a simple random sample from an original population where the standard deviation is known to be \( \sigma = 13 \). The sample size is \( n = 85 \) and the sample mean turns out to be \( \bar{x} = 26 \). Find a 99% confidence interval for the population mean \( \mu \).A. \( (22.368, 29.632) \)B. \( (21.374, 28.441) \)C. \( (23.629, 30.837) \)D. \( (25.375, 26.984) \)

Answered: Image /qna-images/answer/22a9c51c-5bb9-4ca7-8d86-dc844a7dc98c.jpg

Answered: B. (39.431, 46.569) 29. Bob draws a…

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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Construct the confidence interval for the population mean.
9.13 Given a sample size of 36, how large does the population standard deviation have to be in order for the standard error to be A. 1? B. 2? C. 5? D. 100?
Solve for D
Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. A researcher was interested in comparing the GPAs of students at two different colleges. Independent simple random samples of 8 students from college A and 13 students from college B yielded the following GPAs. College A 3.7 3.2 3.0 2.5 2.7 3.6 2.8 3.4 College B 3.8 3.2 3.0 3.9 3.8 2.5 3.9 2.8 4.0 3.6 2.6 4.0 3.6 Construct a 95% confidence interval for μ1−μ2, the difference between the mean GPA of college A students and the mean GPA of college B students. Round to two decimal places. (Note: x1=3.1125, x2=3.4385, s1=0.4357 s2=0.5485
Construct a 95% confidence interval for the population standard deviation σ of a random sample of 15 men who have a mean weight of 165.2 pounds with a standard deviation of 10.7 pounds. Assume the population is normally distributed. A. (8.226,15.618) B. (2.395,5.159) C. (61.368,284.75) D. (7.834,16.875)
Q4. Identify the incorrect statement below: The estimator, X from a random sample of X A. Is the mean of the population of X. B. Is an unbiased estimator of the population mean. C. Has an expected value equal to the mean of X. D. Is a random variable with a variance smaller than the variance of X. O A. A ОВ. В С. С O D. D
A simple random sample of size n is drawn. The sample mean, &, is found to be 17.7, and the sample standard deviation, s, is found to be 4.3. Click the icon to view the table of areas under the t-distribution.
A random sample of 16 men have a mean height of 67.5 inches and a standard deviation of 3.6 inches. Construct a 99% confidence interval for the population standard deviation, σ. Assume the sample is from a normally distributed population. A. (2.514, 6.713) B. (1.283, 3.426) C. (2.434, 6.5) D. (2.521, 6.097)
K In a random sample of eleven people, the mean driving distance to work was 22.3 miles and the standard deviation was 4.9 miles. Assume the population is normally distributed and use the t-distribution to find the margin of error and construct a 95% confidence interval for the population mean u. Interpret the results. Identify the margin of error. (Round to one decimal place as needed.) Construct a 95% confidence interval for the population mean. (Round to one decimal place as needed.) Interpret the results. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal. Do not round.) OA. It can be said that % of the population has a driving distance to work (in miles) that is between the interval's endpoints. O B. % of all random samples of eleven people from the population will have a mean driving distance to work (in miles) that is between the interval's endpoints. OC. With % confidence, it can be said that most driving distances…

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