A machine produces metal rods used in an automobile suspension system. A random sample of 15 rods is selected, and the diameter is measured. The resulting data (in millimeters) are as follows: 8.24 8.25 8.20 8.23 8.24 8.21 8.26 8.26 8.20 8.25 8.23 8.23 8.19 8.28 8.24 (A) Calculate a 95% two-sided confidence interval on mean rod diameter. R (B) Calculate a 95% upper confidence bound on the mean. Compare this bound with the upper bound of the two-sided confidence interval and discuss why they are different.

MATLAB: An Introduction with Applications
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A machine produces metal rods used in an automobile suspension system. A random
sample of 15 rods is selected, and the diameter is measured. The resulting data (in
millimeters) are as follows:
8.24 8.25 8.20 8.23 8.24 8.21 8.26 8.26 8.20 8.25 8.23 8.23 8.19 8.28 8.24
(A) Calculate a 95% two-sided confidence interval on mean rod diameter.
R
(B) Calculate a 95% upper confidence bound on the mean. Compare this bound with
the upper bound of the two-sided confidence interval and discuss why they are
different.
Transcribed Image Text:A machine produces metal rods used in an automobile suspension system. A random sample of 15 rods is selected, and the diameter is measured. The resulting data (in millimeters) are as follows: 8.24 8.25 8.20 8.23 8.24 8.21 8.26 8.26 8.20 8.25 8.23 8.23 8.19 8.28 8.24 (A) Calculate a 95% two-sided confidence interval on mean rod diameter. R (B) Calculate a 95% upper confidence bound on the mean. Compare this bound with the upper bound of the two-sided confidence interval and discuss why they are different.
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