How to do: Spearman Rank correlation test for (A level) biology
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- Опубліковано 6 лип 2024
- Last in the series of statistical tests for biology. In this episode I go step-by-step through how to do a Spearman rank correlation test including:
1. How to decide to do the test
2. How to calculate correlation coefficient
3. Determining the degrees of freedom and the critical value
4. Making the conclusion.
It's been a pleasure, guys. Hope these have been useful. As always leave a message for any questions or feedback you might have. Good luck!
Episode 1: overview of all three tests (how to do statistical tests): • Statistical tests in (...
Episode 2: How to do a t-test: • How to do a t test (bi...
Episode 3. How to do a Chi-squared test: • How to do: chi-squared...
Episode 4: How to do a Spearman rank correlation test: • How to do: Spearman Ra...
![Spearman Rank Correlation [Simply explained]](http://i.ytimg.com/vi/XV_W1w4Nwoc/mqdefault.jpg)
Thankyou this was extremely helpful and well explained
Well taught..You made it easy.. 😊
Sir awesomely explained..
Thank you, covered pretty much everything, very useful
Glad it was helpful!
Hello. Sir, since you finished this series, what are you planning your next videos are going to be ?
brilliant tutorial - helped me so much as so well explained
Glad it helped!
Dr bhasvar, can you please make a video on the structure of muscles and myofibrils and connective tissue, stuff like that ? It's part of the Edexcel specification and we'd be incredibly appreciative.
Thank you!!
Thank you very much, sir. IDK how did you do this magic? thanks bunch.
You're very welcome!
The best teacher
Please can you make a video on the hardy-weinberg equation!
Bu77et yes pls need help ASAP for a levels
Hello Sir. Near the end of the video after part c) of your conclusion shouldn't we state, in this case, a strong correlation present?
Thanks for this video and the previous video on the statistical test you did on the whiteboard.
Life saver thank you !
Happy to help!
Hi, i wanted to confirm whether we rank the values from highest to lowest or lowest to highest?
Did I miss something? Where did the 6 in the equation come from?
So do we accept or reject the null hypothesis? And why?
Reject because the null hypothesis states there is no correlation and it was concluded that there is significant correlation
Why would you use Spearman Rank correlation for this data instead of Pearson?
hi, how do you get the chance or of error to be 5% or is that in the question?
we always assume that as standard practise, UNLESS a different one is specified in the question.
This was extremely useful but I have a problem, for spearman degree of freedom is given by set of data minus one and for Pearson's linear correlation degree of freedom is given by set of data minus 2, is it?
they both actually should be number of pairs of data minus 2
If summation D^2 =O what is ur conclusion regarding spearman rank coefficient
if the d squared is zero, that means there are no differences between the paired values. that should result in a correlation coefficient of 1, and so a perfect positive correlation.
@@LSCBiology thanks Dr
how has this only got 100 likes?
not everyone is an appreciator of truly high quality videos, such as yourself!
If rank correlation r=0.8, summation of d squared value=3 then how to find n? Help me out .
put r, and 'sum of d squares' into the equation, then rearrange the equation to make 'n' the subject.
n(n^2-1) =90 I reached till this step after that i couldn't able to proceed
Degrees of freedom, isn't that number of samples minus 1, not the actual number of samples?
not for spearman's rank
In the textbook it gives the lowest number a rank of 1 but you’ve given the highest number a rank of 1....I’m confused!
good question. you can do it either way, as long as you're consistent for both datasets, it won't affect the R value.
Paper 5, 9700 tips
Please