Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i. e., describe the values of the test statistic that would result in rejection of the null hypothesis. suppose you wish to test the claim that mu subscript dμd, the mean value of the differences d for a population of paired data, is greater than 0. given a sample of n equals=15 and a significance level of alphaαequals=0.01, what criterion would be used for rejecting the null hypothesis

Step-by-step explanation:

Hello!

Given the statistical hypothesis:

H₀:μd≤0

H₁: μd>0

and the significance level:

α:0.01

With the sample size 15 and assuming all conditions are met, the most accurate statistic to use will be a Student's t

t= (x[bar]d-μd)/(Sd/√n)~tₙ₋₁

This is a one-tailed test, you have two options. You either calculate the p-value for the test and compare it to the level of significance.

If p-value > than α then you support the null hypothesis.

If p-value ≤ than α then you reject the null hypothesis.

Or you calculate the observed t value and compare it with a critical value, in this case, tₙ₋₁;₋ₐ. The critical region is one-tailed to the right, so you'll reject the null hypothesis if the calculated t value is equal or greater than the critical value and you will support the null hypothesis if the calculated t-value is less than the critical value.

I hope you have a SUPER day!

actually your concept is wrong

step-by-step explanation:

150% of x =300

150x=300×100

x=(300×100)÷150

x=200