How to calculate Pearson correlation coefficient and p-value in excel
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- Опубликовано: 22 авг 2024
- This video explains how to calculate Pearson coefficient and p-value in excel.
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Hi! Thank you for the video.
Just to add on this, for calculating p-value use the abs function for t-statistic value in case you got a negative t-statistic (min:2:20)
Example:
=TDIST(ABS(F9),F11,2)
You save my lifeeeeee, THANK UUUUUUUU
You helped me so much. I kept getting #NUM before putting ABS
thank youuuu
Thanks man. Guys like you make the world a better place. Thanks to the original poster as well.
Thanks bro! You saved my life
thank you!!! saved my time.
I wanted to say a huge thank you for this video, and explaining this calculation so efficiently without extra confusion. I've watched at least 10 videos and none have explained it so well.
Simply the best statistics video on RUclips. Thank you!
Thanks.
Thanks in a million. Awesome. Where have you been all these years.
THANK YOU SO MUCH😭
Very Helpful, Thank You!
Glad it was helpful.
So what is the interpretation of the result?
thanksss! 💌
Oh my gosh, thank you
Thank you for this video
Glad you liked.
thank you
Good illustration
But why you take degree of freedom as (n - 2), instead of (n-1)?
I also have the same question, awesome video
it is because there are two variables or two parameters instead of one
Very helpful
it is not complete. how can you make decision in the P value without any level of significance, alpha?
Sir,I want to ask a think that, when I used more than 3 parameters for all subcategories in my study, and subjects are more than 100, with five subcategories, like; 20,20,20,20,20........,then which type of test or statistics I should have to apply?,,,,,
answer?
when u calculate p value, why u taking tails=2
While evaluating null and alternate hypothesis, the direction of hypothesis is also important. Based on this we decide whether one tail or two tail should be applied. For example, if we are framing hypothesis like there is no relationship or both variable are same and althernate hypothesis also representing same type of equality checking, then we apply two tail testing. Suppose in alternate hypothesis, we are checking the greater than or lesser than relationship then we can apply one tail test.