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 5.6 pounds/square inch. It is believed that the valve performs above the specifications. The valve was tested on 160 engines and the mean pressure was 5.7 pounds/square inch. Assume the variance is known to be 0.25. A level of significance of 0.01 will be used. Make a decision to reject or fail to reject the null hypothesis.
Make a decision.
Given : Sample size=n=160
Sample mean=
Population standard deviation=
Significance level=
Hypothesized value=
Since , the population standard deviation is known and the sample size is greater than 30.
Therefore , use Z-test.
Hypothesis : VS
Here , the test is one ( right ) tailed test.
The value of the test statistic is ,
The critical value is ,
; From standard normal probability table
Rejection region :
Decision : Here , the value of the test statistic is lies in the rejection region.
Therefore , reject the null hypothesis.
Conclusion : Hence , there is sufficient evidence to support the claim that the valve performs above the specifications.
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