Question

An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 190 engines and the mean pressure was 6.0 pounds/square inch (psi). Assume the population standard deviation is 0.8. If the valve was designed to produce a mean pressure of 6.1 psi, is there sufficient evidence at the 0.02 level that the valve does not perform to the specifications?

Specify if the test is one-tailed or two-tailed. Find the P-value of the test statistic and identify the level of significance. Do we reject or fail to reject the null hypothesis?

Answer #1

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on
110engines and the mean pressure was 4.6 pounds/square inch (psi).
Assume the population standard deviation is 0.8 If the valve was
designed to produce a mean pressure of 4.5psi, is there sufficient
evidence at the 0.02 level that the valve does not perform to the
specifications?
Step 3 of 6:
Specify if the test is one-tailed or two-tailed.
An engineer...

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 290
engines and the mean pressure was 6.1 pounds/square inch (psi).
Assume the population variance is 0.36. If the valve was designed
to produce a mean pressure of 6.0 psi, is there sufficient evidence
at the 0.02 level that the valve performs above the
specifications?
Identify the level of significance for the hypothesis test.

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 290
engines and the mean pressure was 6.1 pounds/square inch (psi).
Assume the population variance is 0.36. If the valve was designed
to produce a mean pressure of 6.0 psi, is there sufficient evidence
at the 0.02 level that the valve performs above the
specifications?
Find the P-value of the test statistic. Round your answer to
four decimal places

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 210
engines and the mean pressure was 5.0 pounds/square inch (psi).
Assume the population standard deviation is 0.9. The engineer
designed the valve such that it would produce a mean pressure of
4.9 psi. It is believed that the valve does not perform to the
specifications. A level of significance of 0.02 will be used. Find
the value of the...

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 180
engines and the mean pressure was 6.2 pounds/square inch (psi).
Assume the population standard deviation is 0.8. The engineer
designed the valve such that it would produce a mean pressure of
6.3 psi. It is believed that the valve does not perform to the
specifications. A level of significance of 0.01 will be used. Find
the value of the...

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 170
engines and the mean pressure was 4.7 pounds/square inch (psi).
Assume the population variance is 1.00. If the valve was designed
to produce a mean pressure of 4.5 psi, is there sufficient evidence
at the 0.05 level that the valve does not perform to the
specifications?
Step 5 of 6:
Identify the level of significance for the hypothesis test.

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 pounds/square inch. The
valve was tested on 150 engines and the mean pressure was 4.3
pounds/square inch. Assume the standard deviation is known to be
0.8. Is there evidence at the 0.05 level that the valve performs
above the specifications?
Enter the hypotheses
Enter the value of the z test statistic....

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 5.1 pounds/square inch. The
valve was tested on 160 engines and the mean pressure was 5.2
pounds/square inch. Assume the standard deviation is known to be
0.8. Is there evidence at the 0.02 level that the valve performs
above the specifications?
Step 1 of 5: Enter the hypotheses:
Step 2 of 5:...

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 110
engines and the mean pressure was 4.7 pounds/square inch (psi).
Assume the population standard deviation is 0.8. If the valve was
designed to produce a mean pressure of 4.5 psi, is there sufficient
evidence at the 0.02 level that the valve does not perform to the
specifications?
To get full credits, justify your answer by following
steps given below....

An engineer has designed a valve that will regulate water
pressure on an automobile engine. The valve was tested on 150
engines and the mean pressure was 4.0pounds/square inch (psi).
Assume the population standard deviation is 0.7 If the valve was
designed to produce a mean pressure of 4.1 psi, is there sufficient
evidence at the 0.05 level that the valve does not perform to the
specifications?
Find the value of the test statistic. Round your answer to two
decimal...

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