<p>So I decided to take a look at eriktheread’s extremely useful document and see if I could make some confidence intervals, just for the heck of it. Looking at the math curves by month, this is what I got for the two-sided 95% confidence intervals for October, May, and June for a 53 raw score:</p>
<p>October:
n=7
Sx=10.69
avg=781
(771.54, 791.32)</p>
<p>January:
n=6
Sx=12.11
avg=783.33
(770.62,796.04)</p>
<p>May:
n=6
Sx=8.94
avg=790
(780.61,799.39)</p>
<p>Sorry that I didn’t do my assumptions.</p>
<p>Given the amount of data that was available, I’d warn against drawing any conclusions. Yes, the May average is the highest. But I would hardly call the difference significant given that there is so little data and the fact that the intervals largely overlap each other. These are just confidence intervals for what a raw of 53 in math would be; I’m not really sure how to take the entire curves into account for comparison. If anyone can think of a statistically sound way of doing a serious comparison between months and curves or has more data to present, I’d love to help. Also, please point out if I made any serious errors with this. This was really just for fun; I’m not trying to “prove” anything.</p>
<p>Anyone up for some hypothesis testing?</p>