A large box contains 10,000 ball bearings. A random sample of 120 is chosen. The sample mean diameter is 10 mm, and the standard deviation is 0.24 mm. True or false: A 95% confidence interval for the mean diameter of the 120 bearings in the sample is 10 + (1.96)(0.24)/V120. A 95% confidence interval for the mean diameter of the 10,000 bearings in the box is 10 + (1.96)(0.24)/V120. 95% of the ball bearings had diameters in the interval 10 + (1.96)(0.24)/V1.96. d. a. b. C. A 95% confidence interval for the mean diameter of the 10,000 bearings in the box is 10 + (1.96)(0.24)//10,000.

MATLAB: An Introduction with Applications
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A large box contains 10,000 ball bearings. A random sample of 120 is chosen. The sample
mean diameter is 10 mm, and the standard deviation is 0.24 mm. True or false:
A 95% confidence interval for the mean diameter of the 120 bearings in the sample is
10 + (1.96)(0.24)/V120.
A 95% confidence interval for the mean diameter of the 10,000 bearings in the box is
10 + (1.96)(0.24)/V120.
95% of the ball bearings had diameters in the interval 10 + (1.96)(0.24)/V1.96.
d.
a.
b.
C.
A 95% confidence interval for the mean diameter of the 10,000 bearings in the box is
10 + (1.96)(0.24)//10,000.
Transcribed Image Text:A large box contains 10,000 ball bearings. A random sample of 120 is chosen. The sample mean diameter is 10 mm, and the standard deviation is 0.24 mm. True or false: A 95% confidence interval for the mean diameter of the 120 bearings in the sample is 10 + (1.96)(0.24)/V120. A 95% confidence interval for the mean diameter of the 10,000 bearings in the box is 10 + (1.96)(0.24)/V120. 95% of the ball bearings had diameters in the interval 10 + (1.96)(0.24)/V1.96. d. a. b. C. A 95% confidence interval for the mean diameter of the 10,000 bearings in the box is 10 + (1.96)(0.24)//10,000.
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