Suppose you want to test the claim that $\mu _ { 1 } = \mu _ { 2 } .$ Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?
A)There is sufficient evidence to reject the claim μ $\mu _ { 1 } = \mu _ { 2 } .$
B)There is not sufficient evidence to reject the claim μ $\mu _ { 1 } = \mu _ { 2 } .$
C)There is sufficient evidence to support the claim μ $\mu _ { 1 } = \mu _ { 2 }$
D)There is not sufficient evidence to support the claim μ $\mu _ { 1 } = \mu _ { 2 }$

Question

Quizplus · Accepted Answer

Rejecting the null hypothesis means there is sufficient evidence to conclude that the means are not equal, thus rejecting the claim that $\mu _ { 1 } = \mu _ { 2 }.$

Suppose You Want to Test the Claim That μ1=μ2.\mu _ { 1 } = \mu _ { 2 } .μ1​=μ2​.

Suppose You Want to Test the Claim That $\mu _ { 1 } = \mu _ { 2 } .$