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 7.7 lbs/square inch. assume the standard deviation is known to be 0.5. if the valve was designed to produce a mean pressure of 7.6 lbs/square inch, is there sufficient evidence at the 0.1 level that the valve does not perform to the specifications? state the null and alternative hypotheses for the above scenario.

We are given that The valve was tested on 150 engines and the mean pressure was 7.7 lbs/square inch.

We are also given that the valve was designed to produce a mean pressure of 7.6 lbs/square inch

So,

Null hypothesis:

Alternate hypothesis :  

Since n > 30 and population standard deviation is given

So, We will use z test

Formula :

Substitute the values

refer the z table for p value

so, p value is 0.9927

Since it is a two tailed test So, p = 2(1-  0.9927) = 0.0146

α = 0.1

p value< α

So, we reject null hypothesis

Hence There is  sufficient evidence at the 0.1 level that the valve does not perform to the specifications

so what is the question

step-by-step explanation:

answer: i'm not going to give you the answer, but some hints to work it out.

step-by-step explanation: so, if there is a straight line that means that the line angle is 180°. so we subtract the 2 angle measures provided, (15 and 38) from 180. so the answer is 180 - (38 + 15). (you have to solve the equation)