At Westonci.ca, we provide reliable answers to your questions from a community of experts. Start exploring today! Discover reliable solutions to your questions from a wide network of experts on our comprehensive Q&A platform. Get detailed and accurate answers to your questions from a dedicated community of experts on our Q&A platform.
Sagot :
We have enough data to reject our null hypothesis if the value of our test statistics falls below critical values of z at a 1.25% level of significance (critical values are -1.645 and 1.645). This is because the test statistic value will not fall within this region.
Given that the population mean is 650, we do a two-tail hypothesis test with a level of significance of 0.025.
Let, μ = population mean
Thus, Null hypothesis, [tex]H_{0}[/tex]:μ= 650.
Alternate Hypothesis, [tex]H_{A}[/tex]:μ≠650
In this case, the population mean is equal to 650, according to the null hypothesis.
The alternative hypothesis, on the other hand, contends that the population mean is not 650.
First things first: the level of significance to be accepted for the two-tailed test is ([tex]\frac{\alpha }{2}[/tex]= [tex]\frac{0.025}{2}[/tex]) = 0.0125 or 1.25%.
Therefore, the following is the decision rule for rejecting a null hypothesis:
We have enough data to reject our null hypothesis if the value of our test statistics falls in the rejection region and is less than the critical values of z at a 1.25% level of significance (critical values are -1.645 and 1.645). This is because the test statistic value will not fall within this region.
Learn more about hypothesis test here :https://brainly.com/question/17221912
#SPJ4
Thank you for choosing our platform. We're dedicated to providing the best answers for all your questions. Visit us again. We appreciate your visit. Our platform is always here to offer accurate and reliable answers. Return anytime. Westonci.ca is your trusted source for answers. Visit us again to find more information on diverse topics.
