
Mauricio M. answered 09/14/22
Credentialed Secondary Math Teacher
Hello Felix,
In hypothesis testing a type I error occurs when the null hypothesis is rejected (or alternative is accepted) even though the null hypothesis is true. Using the language of this problem a type I error may be described as follows: Claiming that the mean heat rate of gas turbines augmented with high pressure inlet fogging exceeds 10,000 kj/kwh even though it does not.
Furthermore, a type II error occurs when we do not reject the null hypothesis (or not accept the alternative) even though the alternative hypothesis is true. In this situation a type II error would be to claim that the mean heat rate of gas turbines augmented with high pressure inlet fogging does not exceed 10,000 kj/kwh when in actuality it does.
Hope this helps.

Mauricio M.
In order to conduct the hypothesis test either the data or the data summary are needed. You have not provided either.09/15/22
Felix K.
Hello Mr. Mauricio, I've added the data below. Thanks Gasturbines: 14622 13196 11948 11289 11964 10526 10387 10592 10460 10086 14628 13396 11726 11252 12449 11030 10787 10603 10144 11674 11510 10946 10508 10604 10270 10529 10360 14796 12913 12270 11842 10656 11360 11136 10814 13523 11289 11183 10951 9722 10481 9812 9669 9643 9115 9115 11588 10888 9738 9295 9421 9105 10233 10186 9918 9209 9532 9933 9152 9295 16243 14628 12766 8714 9469 11948 1241409/16/22
Felix K.
Hello Mr. Mauricio thanks a lot for explaining part b.) Can you please elaborate part A.) as well. (a) Conduct a test to determine if the mean heat rate of gas turbines augmented with high pressure inlet fogging exceeds 10,000 kJ/kWh. Use α = .05.09/15/22