8.1.4 WP A confidence interval estimate is desired for the gain in a circuit on a semiconductor device. Assume that gain is nor- mally distributed with standard deviation σ = 20. a. How large must n be if the length of the 95% CI is to be 40? b. How large must n be if the length of the 99% CI is to be 40? 8.1.5 Suppose that n = 100 random samples of water from a freshwater lake were taken and the calcium concentration (milligrams per liter) measured. A 95% CI on the mean calcium concentration is 0.49 ≤ µ ≤ 0.82. a. Would a 99% CI calculated from the same sample data be longer or shorter? b. Consider the following statement: There is a 95% chance that is between 0.49 and 0.82. Is this statement correct? Explain your answer. c. Consider the following statement: If n = 100 random samples of water from the lake were taken and the 95% CI on μ computed, and this process were repeated 1000 times, 950 of the CIs would contain the true value of μ. Is this statement correct? Explain your answer. 8.1.6 WP SS The yield of a chemical process is being stud- ied. From previous experience, yield is known to be normally distributed and σ = 3. The past 5 days of plant operation have resulted in the following percent yields: 91.6, 88.75, 90.8, 89.95, and 91.3. Find a 95% two-sided confidence interval on the true mean yield.

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Chapter10: Statistics
Section10.5: Comparing Sets Of Data
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Answer questions 8.1.4, 8.1.5 and 8.1.6 respectively 

8.1.4 WP A confidence interval estimate is desired for the gain
in a circuit on a semiconductor device. Assume that gain is nor-
mally distributed with standard deviation σ = 20.
a. How large must n be if the length of the 95% CI is to
be 40?
b. How large must n be if the length of the 99% CI is to
be 40?
8.1.5 Suppose that n = 100 random samples of water from
a freshwater lake were taken and the calcium concentration
(milligrams per liter) measured. A 95% CI on the mean calcium
concentration is 0.49 ≤ µ ≤ 0.82.
a. Would a 99% CI calculated from the same sample data be
longer or shorter?
b. Consider the following statement: There is a 95% chance
that is between 0.49 and 0.82. Is this statement correct?
Explain your answer.
c. Consider the following statement: If n = 100 random
samples of water from the lake were taken and the 95% CI on
μ computed, and this process were repeated 1000 times, 950
of the CIs would contain the true value of μ. Is this statement
correct? Explain your answer.
8.1.6 WP SS The yield of a chemical process is being stud-
ied. From previous experience, yield is known to be normally
distributed and σ = 3. The past 5 days of plant operation have
resulted in the following percent yields: 91.6, 88.75, 90.8, 89.95,
and 91.3. Find a 95% two-sided confidence interval on the true
mean yield.
Transcribed Image Text:8.1.4 WP A confidence interval estimate is desired for the gain in a circuit on a semiconductor device. Assume that gain is nor- mally distributed with standard deviation σ = 20. a. How large must n be if the length of the 95% CI is to be 40? b. How large must n be if the length of the 99% CI is to be 40? 8.1.5 Suppose that n = 100 random samples of water from a freshwater lake were taken and the calcium concentration (milligrams per liter) measured. A 95% CI on the mean calcium concentration is 0.49 ≤ µ ≤ 0.82. a. Would a 99% CI calculated from the same sample data be longer or shorter? b. Consider the following statement: There is a 95% chance that is between 0.49 and 0.82. Is this statement correct? Explain your answer. c. Consider the following statement: If n = 100 random samples of water from the lake were taken and the 95% CI on μ computed, and this process were repeated 1000 times, 950 of the CIs would contain the true value of μ. Is this statement correct? Explain your answer. 8.1.6 WP SS The yield of a chemical process is being stud- ied. From previous experience, yield is known to be normally distributed and σ = 3. The past 5 days of plant operation have resulted in the following percent yields: 91.6, 88.75, 90.8, 89.95, and 91.3. Find a 95% two-sided confidence interval on the true mean yield.
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