# need help with Pearson's correlation test in Excel

I ran CORREL in Excel, and the results matched expectations ===> minus -.640, which makes perfect sense for my data. I was also able to replicate this number from an earlier analysis, but I had to reconstitute the dataset. In the earlier analysis, they used SPSS and got .628 correlation, so I believe my Excel analysis got the same result. (I'm sure that .628 was also minus -0.628 based on the data and reality).

Next I ran a PEARSON correlation in Excel, and also got minus -0.640, same as CORREL. So again, good I thought ...

But then I got some additional stats based on this video, and the p-value calculation went wacky (#NUM). So I'm not sure what's going on. Also, the T statistic is way higher than the example.

Formulas:

So trying to sort this out ...
- is the T statistic wacky?
- why didn't p value calculate?
* StatisticsMicrosoft Excel* SPSSMicrosoft Office

Last Comment
William Peck
Jackie Man

-.640 is completely reverse of .628.

William Peck

Jackie Man,
-.640 is completely reverse of .628.

right, I understand that. I think the original study of +.628 is actually minus -0.628, because I know the data. The data tells whether the predictive factor (Variable A) (h.s. grades and such) translates to college success (the factor being rank-in-class). So negative correlation makes sense - the higher the predictive factor, the "higher" the class rank, but the highest person is ranked # 1, so it's a negative correlation.
Jackie Man

But then I got some additional stats based on this video...

Can you tell me more about the video?

You need to normalize your data with ABS function before you calculate the p value.

William Peck

sorry, here's the right video link. But the bottom line from the video is the calculations from my screen shots.

None of the data has a negative value so doesn't need ABS, here's a sample
William Peck

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