I'm a student in AP Statistics and our end-of-year project has me stumped on one small aspect.
The variables here aren't the ones in my project, but it'll make it easier to explain.
I'm trying to determine whether the average male IQ is different from the average female IQ. I took $x$ males and determined their average IQ to be $m_x$ with sample standard deviation $s_x$. I took $y$ females and determined their average IQ to be $m_y$ with sample standard deviation $s_y$.
I then did the following procedures:
I conducted a two-sample $t$-test on my data and concluded at a significance level of $\alpha = 0.05$ that the average male IQ and average female IQ are not significantly different.
I computed $95$% confidence intervals for $m_x$ and $m_y$ and found that:
- $m_y$ is within the confidence interval for $m_x$
- $m_x$ is not within the confidence interval of $m_y$
These procedures seem to produce conflicting results.
- My two-sample $t$-test indicates that $\mu_x = \mu_y$.
- My confidence interval for $m_x$ indicates that $\mu_x = \mu_y$.
- My confidence interval for $m_y$ indicates that $\mu_x \ne \mu_y$.
At the end of the day, I'm probably going to use the two-sample $t$-test to substantiate my claim, but why am I getting different results?