In: Statistics and Probability
An engineer designed a valve that will regulate water pressure on an automobile engine. The engineer designed the valve such that it would produce a mean pressure of 4.2 4.2 pounds/square inch. It is believed that the valve performs above the specifications. The valve was tested on 240 240 engines and the mean pressure was 4.3 4.3 pounds/square inch. Assume the variance is known to be 0.64 0.64 . A level of significance of 0.02 0.02 will be used. Determine the decision rule. Enter the decision rule.
Since the sample size is 240 which us much greater than 30 hence we will use Z statistic here assuming the distribution as random and Normal. Now,
The hypotheses are:
Rejection region:
Reject Ho if Z calculated is less than Z(0.98)=2.33
Test statistic:
Z is calculated as
Z= 1.94
P value:
P value associated with Z score is calculated by table shown below as
0.0262
Conclusion:
Since the Z calculated=1.94<Z critical=2.33 at 98% level of confidence, and P value=0.026>0.02{level.of significance}, hence we fail to reject null hypothesis and conclude that we do not have enough evidence to support the claim.
Z table