Can you please teach me how to do this question on Minitab. Thanks
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) Check the assumption of normality for rod diameter.
(b) Calculate a 95% two-sided confidence interval on mean rod diameter.
(c) 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
(a)
From above probability plot and AD test (since p-value>0.05) we conclude that assumption of normality for rod diameter is valid.
(b)
One-Sample T: diameter
Variable N Mean StDev SE Mean 95% CI
diameter 15 8.23400 0.02530 0.00653 (8.21999, 8.24801)
95% two-sided confidence interval on mean rod diameter is (8.21999, 8.24801).
(c)
One-Sample T: diameter
95% Upper
Variable N Mean StDev SE Mean Bound
diameter 15 8.23400 0.02530 0.00653 8.24550
95% upper confidence bound on the mean is 8.24550.
95% upper confidence bound on the mean <Upper bound of 95% two sided confidence interval on mean diameter. This is happen because we use for computing two sided confidence interval whereas we use for computing 95% upper confidence bound.
Can you please teach me how to do this question on Minitab. Thanks A machine produces...
1. A machine produces metal rods used in an automobile suspension system. A random sample of 15 rods is selected, and the diameter is measured (in millimeters). Diameter 8.24 8.21 8.23 8.25 8.26 8.23 8.2 8.26 8.19 8.23 8.2 8.28 8.24 8.25 8.24 Using RStudio, find and interpret a 95% confidence interval (CI) for the true mean diameter (in millimeters) of metal rods used in an automobile suspension system. Label the parameter: (4 points) Propose an appropriate confidence interval. Explain!...
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