In: Statistics and Probability
A new paint process has been installed in a manufacturing facility. With this process, the facility has to wait only 58 minutes for drying before the next coat can be applied. That is, with the new process, the average dry time was 58 minutes and the standard deviation was 15.9 minutes for a sample of 30 automobiles. Compare this to the process that was replaced. This process (old process) was studied for 50 automobiles and the average dry time was 64 minutes with a standard deviation of 16.8 minutes. Use an alpha of .05 for your hypothesis test. Call your present process “sample one” and the replaced process (old process) “sample two.” You want the mean of sample 1 minus the mean of sample 2 to be negative.
Answer the following :
1- Give H0: and H1:
2- Level of Significance
30 Confidence coefficient is ?
4- Sample One the Current Process
Sample Size
Sample mean
Sample Standard Deviation
5- Sample Two the previous Process
Sample Size
Sample mean
Sample Standard Deviation
6- Current Sample Degrees of Freedom
7- Old process Sample Degrees of Freedom
8- Total Degrees of Freedom
9- Pooled Variance
10- The difference in sample means
11- Test Statistic
12- Critical Value
13- p-value
14- Conclusion:
. . . |
What do you mean by "tail"?
1
Hypothesis:
2.
Level of Significance = 0.05
3.
Confidence coefficient is 0.95
4.
Sample One the Current Process
Sample Size = 30
Sample mean = 58
Sample Standard Deviation = 15.9
5.
Sample Two the previous Process
Sample Size = 50
Sample mean = 64
Sample Standard Deviation = 16.8
6.
Current Sample Degrees of Freedom = n1 -1 = 30 - 1 = 29
7.
Old process Sample Degrees of Freedom = n2-1 = 50 - 1 = 49
8.
Total Degrees of Freedom = n1+n2-2 = 30 + 50 -2 = 78
9.
Pooled Variance :
10.
The difference in sample means = 58 - 64 = -6
11.
Test Statistic ,
12.
Critical Value = -1.665
13.
p-value = 0.0594
It is obtained using excel with function =TDIST(1.577,78,1)
14.
Conclusion: Since p-value is greater than 0.05, we accept null hypothesis at 5% level of significance and conclude that mean waiting time for new process is less than old process.