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 4.6 lbs/square inch. assume the standard deviation is known to be 0.8. if the valve was designed to produce a mean pressure of 4.5 lbs/square inch, is there sufficient evidence at the 0.02 level that the valve does not perform to the specifications?

NO.

Step-by-step explanation:

As per given , we have to test the hypothesis.

∵ is two-tailed , so our test is a two-tailed test.

Also, the standard deviation is known to be 0.8 , so we use z-test.

Test statistic:

, where = Sample mean

= population mean

= Population standard deviation

n= Sample size

Put  

n=  110 , we get

P-value for two tailed test = 2P(Z>|z|)

= 2P(Z>|1.31|) = 2(1-P(Z<1.31))   [∵ P(Z>z)=1-P(Z<z)]

=2(1- 0.9049)  [By z-table]

=0.1902

Decision : ∵ P-value (0.1902) > Significance level (0.02).

It means we do not reject the null hypothesis.

[When P-values < Significance level then we reject the null hypothesis.]

Conclusion : We do not have sufficient evidence at the 0.02 level that the valve does not perform to the specifications.

last option

step-by-step explanation:

given that δdef is right and isoceles,

assuming that side df is the hypotenuse means that de an ef are the other 2 sides that intersect at 90° and are of equal length.

because they are of equal length, we can say that they are congruent

because they intersect at 90°, their slopes must be opposite reciprocals.

only the last option satisfies these conditions.