Levi-Strauss Co manufactures clothing. The quality control department measures randomly selected weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in table #11.3.3, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013). The population distributions are known to be normally shaped for each plant. Do the data show that there is a difference between some of the suppliers? Test at the 1% level. The data is PLNT1, PLNT2, PLNT3, and PLNT4. A) Name of test B) Give the random variables and the parameter. C) State the null and alternative hypotheses and the level of significance. D) State and check the assumptions for the hypothesis test. E) Find the test statistic and the p-value. F) Conclusion Attached is the data set.
Levi-Strauss Co manufactures clothing. The quality control department measures randomly selected weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in table #11.3.3, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013). The population distributions are known to be normally shaped for each plant. Do the data show that there is a difference between some of the suppliers? Test at the 1% level. The data is PLNT1, PLNT2, PLNT3, and PLNT4.
A) Name of test
B) Give the random variables and the parameter.
C) State the null and alternative hypotheses and the level of significance.
D) State and check the assumptions for the hypothesis test.
E) Find the test statistic and the p-value.
F) Conclusion
Attached is the data set.
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