K A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 111, and the sample standard deviation, s, is found to be 11. (a) Construct a 96% confidence interval about μ if the sample size, n, is 26. (b) Construct a 96% confidence interval about µ if the sample size, n, is 18. (c) Construct a 90% confidence interval about µ if the sample size, n, is 26. (d) Should the confidence intervals in parts (a)-(c) have been computed if the population had not been normally distributed? (a) Construct a 96% confidence interval about u if the sample size, n, is 26. Lower bound:; Upper bound: (Round to one decimal place as needed.) (...)

MATLAB: An Introduction with Applications
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A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 111, and the sample standard deviation, s, is found to be
11.
(a) Construct a 96% confidence interval about μ if the sample size, n, is 26.
(b) Construct a 96% confidence interval about µ if the sample size, n, is 18.
(c) Construct a 90% confidence interval about µ if the sample size, n, is 26.
(d) Should the confidence intervals in parts (a)-(c) have been computed if the population had not been normally distributed?
(a) Construct a 96% confidence interval about μ if the sample size, n, is 26.
Lower bound:; Upper bound:
(Round to one decimal place as needed.)
Transcribed Image Text:K A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 111, and the sample standard deviation, s, is found to be 11. (a) Construct a 96% confidence interval about μ if the sample size, n, is 26. (b) Construct a 96% confidence interval about µ if the sample size, n, is 18. (c) Construct a 90% confidence interval about µ if the sample size, n, is 26. (d) Should the confidence intervals in parts (a)-(c) have been computed if the population had not been normally distributed? (a) Construct a 96% confidence interval about μ if the sample size, n, is 26. Lower bound:; Upper bound: (Round to one decimal place as needed.)
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