The marketing manager for an automobile manufacturer is interested in determining the proportion of new compact-car owners who would have purchased a knee airbag if it had been available for an additional cost of $300. the manager believes from previous information that the proportion is 0.30. suppose that a survey of 200 new compact-car owners is selected and 79 indicate that they would have purchased the knee airbag. if you were to conduct a test to determine whether there is evidence that the proportion is different from 0.30 and decided not to reject the null hypothesis, what conclusion could you reach?

After the result obtained through the hypothesis test, I have sufficient evidence to reject the null hypothesis.

Explanation:

The null hypothesis is the statement that two (or more) parameters have no relation to each other.

X= estimated proportion new cars owner tha purchase the knee airbag

Y= they would have purchased the knee airbag

Z= the new compact owners

X= Y/Z

Hypothesis

H0= 0,30 (equal 30% .They would have purchased a knee airbag if it had been available)

H1≠0,30 (different to 30% .They would have purchased a knee airbag if it had been available)

Survey

Y=79

Z=200

X= 79 /200

X=0,395 ( 39,5% .They would have purchased a knee airbag if it had been available)

a dunce cap for you, you assed this 2 weeks ago

the correct option is c