PLEASE DOUBLE CHECK ANSWER IS CORRECT & DON'T USE HANDWRITTEN ANSWERS. THANK YOU!
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 7.3 pounds/square inch (psi). Assume the population variance is 0.81. If the valve was designed to produce a mean pressure of 7.1 psi, is there sufficient evidence at the 0.02 level that the valve does not perform to the specifications?
H0: mu = 7.1
Ha: mu not equasl to 7.1
test statistis:
xbar = 7.3
variance = 0.81
std.dev =sqrt(0.81) = 0.9 , n = 110
z = (xbar - mu)/(sigma/sqrt(n))
= ( 7.3 - 7.1)/(0.9/sqrt(110))
= 2.33
p value = 0.0198
Reject Ho as p value < 0.02
there is sufficient evidence at the 0.02 level that the valve does not perform to the specifications
PLEASE DOUBLE CHECK ANSWER IS CORRECT & DON'T USE HANDWRITTEN ANSWERS. THANK YOU! An engineer has...
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 4.1 pounds/square inch (psi). Assume the population standard deviation is 0.6. If the valve was designed to produce a mean pressure of 4.2 psi, is there sufficient evidence at the 0.02 level that the valve does not perform to the specifications? FIND THE VALUE OF THE TEST STATISTIC AND IS THIS TWO TAILED OR...
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 7.1 lbs/square inch. Assume the variance is known to be 0.64. If the valve was designed to produce a mean pressure of 7 lbs/square inch, is there sufficient evidence at the 0.01 level that the valve does not perform to the specifications? State the null and alternative hypotheses for the above scenario. H0...
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 120 engines and the mean pressure was 4.7 lbs/square inch. Assume the variance is known to be 0.81 . If the valve was designed to produce a mean pressure of 4.9 lbs/square inch, is there sufficient evidence at the 0.02 level that the valve performs below the specifications? State the null and alternative hypotheses for the above scenario.
An engineer has 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 6.4 pounds/square inch. The valve was tested on 24 engines and the mean pressure was 6.6 pounds/square inch with a standard deviation of 0.7. Is there evidence at the 0.05 level that the valve does not perform to the specifications? Assume the population distribution is approximately normal. Step 1 of 5:...
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 120 engines and the mean pressure was 7.5 lbs/square inch. Assume the variance is known to be 0.81. If the valve was designed to produce a mean pressure of 7.3 Ibs/square inch, is there sufficient evidence at the 0.1 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario. m Tables Answer...
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 5.2 pounds/square inch (psi). Assume the population standard deviation is 0.6. The engineer designed the valve such that it would produce a mean pressure of 5.3 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 280 engines and the mean pressure was 4.4 lbs/square inch. Assume the standard deviation is known to be 0.8 If the valve was designed to produce a mean pressure of 4.3 lbs/square inch, is there sufficient evidence at the 0.02 level that the valve does not perform to the specifications? State the null and alternative hypotheses for the above scenario....
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 6.3lbs/square inch. Assume the standard deviation is known to be 0.6 If the valve was designed to produce a mean pressure of 6.2 lbs/square inch, is there sufficient evidence at the 0.02 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario.
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 4.2 lbs/square inch. Assume the standard deviation is known to be 0.6 If the valve was designed to produce a mean pressure of 4.3 lbs/square inch, is there sufficient evidence at the 0.02 level that the valve performs below the specifications? State the null and alternative hypotheses for the above scenario.
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 200 engines and the mean pressure was 4 lbs/square inch. Assume the standard deviation is known to be 1. If the valve was designed to produce a mean pressure of 4.1 Ibs/square inch, is there sufficient evidence at the 0.02 level that the valve performs below the specifications? known to be . if the vae woelow the specifications? State the...