[FIXED] Creating Bootstrap Confidence Intervals - 'list' object has no attribute 'sample'?

Issue

I am trying to find bootstrap 95% confidence intervals for a small set of data, but when I try it, it says that my "list object has no attribute sample". I am not sure what list they are talking about, and how do I add that attribute?

I tried doing 1000 bootstrap samples with replacing the data each time for a very small, 9-number set of data. However, when I tried using the CreateBootstrapMeans function in In[84], it says that my "list object has no attribute 'sample'". I am not sure what this means.

I later need to use the np.percentile function to find the 95% confidence intervals, but I cannot do that until this part gets sorted out.

Please help in whatever way you can! I am also sorry if this is a stupid question, I am a beginner in coding!

Solution

you have to replace the line where you define d with:

d = np.random.choice(data, n, replace=True)

this because list object has no method named sample

EDIT:

also the return has to be placed at the end of the for loop and not inside it.

Answered By - Salvatore Daniele Bianco