A machine, when working properly, produces only 2% defective items. Periodically a sample is taken and tested to make sure that the machine is working properly. Suppose a random sample of 121 items produced by this machine was tested and was found to have 5 defective items at α=0.05, what is the critical proportion to compare to the sample proportion when deciding on whether the proportion of the population must be > 0.02? Answer in 4 decimal places.
Please show work.
Solution :
This is the right tailed test .
The null and alternative hypothesis is
H0 : p = 0.02
Ha : p > 0.02
n = 121
x = 5
= x / n = 5 / 121 = 0.04
P0 = 0.02
1 - P0 = 1 - 0.02 = 0.98
Test statistic = z
= - P0 / [P0 * (1 - P0 ) / n]
= 0.04 - 0.02/ [(0.02*0.98) /121 ]
= 1.57
Test statistic = z = 1.57
P(z >1.57 ) = 1 - P(z < 1.57 ) = 1 -0.9418
P-value = 0.0582
= 0.05
P-value >
0.0582 > 0.05
Fail tom reject the null hypothesis .
There is not sufficient evidence to conclude that the population propration is greater than 2%, at the 0.05 significance level.
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