Answered

Get comprehensive answers to your questions with the help of IDNLearn.com's community. Join our interactive community and access reliable, detailed answers from experienced professionals across a variety of topics.

A quality control specialist tests samples of the seed being packaged and uses a chi-square goodness-of-fit test to see whether the proportions in the samples match what is claimed by the company. Which of the following best describes the null hypothesis and the alternative hypothesis for the test?

Sagot :

Answer:

C Null hypothesis of pF=.55 pB=.22 pBG=.10 P1=0.07 pNG=0.06

Ha: At least one of the proportions is different

Explanation:

That is what they give you and the Ha is rejecting the null hypothesis

Answer:

H0: pF=0.55,pB=0.22,pBG=0.10,pI=0.07,pNG=0.06

Ha: At least one of the proportions is different.

Explanation:

This is a GOF test which means H0 is the expected values which are given to us in this case. If we were to reject H0, it would mean that most observed values are different than expected which would mean there is at least one proportion that is different.

We appreciate your contributions to this forum. Don't forget to check back for the latest answers. Keep asking, answering, and sharing useful information. Find clear answers at IDNLearn.com. Thanks for stopping by, and come back for more reliable solutions.