I am a computer scientist performing research, which includes calculating the Spearman rank correlation of two lists, one ranked by a human, another by a computer program.
I have the following questions:
- I was reading this post and have become concerned with how large my sample size has to be to have a significant confidence level.
- Also if I have understand correctly the Fisher transform gives you a confidence level after you have gotten the Spearman rank correlation. If possible I would like to know the ideal sample size before I start the experimen
- On interpreting the value given to you by the Spearman rank correlation: I have read about the null hypothesis
The general form of a null hypothesis for a Spearman correlation is: H0: There is no association between the two variables [in the population].
However what I want to prove is the opposite ie: that there is a very close association between the two variables. How is this done?