The thicknesses of eight pads designed for use in aircraft engine mounts are measured. The results, in mm, are 41.83, 41.01, 42.68, 41.37, 41.83, 40.5, 41.70, and 41.42. Assume that the thicknesses are a sample from an approximately symmetric distribution.
a. Compute the appropriate test statistic and find the P-value.
b. Can you conclude that the mean thickness is greater than 41 mm?
c. The target thickness is 42 mm. Can you conclude that the mean thickness differs from the target value? Compute the appropriate test statistic and find the P-value.
a) From the given data
Using the P-value approach: The p-value is p = 0.0085
b) Since P-value < alpha 0.05 so we reject H0
Thus we conclude that the mean thickness is greater than 41 mm
c) Test Statistic:
Using the P-value approach: The p-value is p = 0.0447
since P-value < alpha 0.05 so we reject H0
Thus we conclude that the mean thickness is not equal to 42 mm
The thicknesses of eight pads designed for use in aircraft engine mounts are measured. The results,...
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Required information The thicknesses of eight pads designed for use in aircraft engine mounts are measured. The results, in mm, are 41.83, 41.01, 42.68, 41.37, 41.83, 40.5, 41.70, and 41.42. Assume that the thicknesses are a sample from an approximately symmetric distribution. Can you conclude that the mean thickness is greater than 41 mm? Compute the appropriate test statistic and find the P-value. The appropriate test statistic and the P-value are and respectively. Round the P-value to four decimal...
The thickness of six pads designed for use in aircraft engine mounts were measured. The results, in mm, were: 40.93, 41.11, 41.47, 40.96, 40.80, and 41.32. Assume that these values come from a normal population. (a) Find the sample mean and the sample variance. (b) The target thickness is 41.2 mm. Can you conclude that the mean thickness differs from the target value at 0.05 level of significance? (c) Find the P -value in (b), and interpret the result.
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