Consider the null hypothesis $H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } = 0$. If the confidence interval for $\mu _ { 1 } - \mu _ { 2 }$ does not contain 0 , the null hypothesis should be rejected.

Question

Quizplus · Accepted Answer

If the confidence interval for $\mu _ { 1 } - \mu _ { 2 }$ does not contain 0, it indicates that the difference between the two means is statistically significant, leading to the rejection of the null hypothesis $H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } = 0$.

Consider the Null Hypothesis H0:μ1−μ2=0H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } = 0H0​:μ1​−μ2​=0

Consider the Null Hypothesis $H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } = 0$