I can’t find the answer to question number four on this exercise
The Null Hypothesis is
Are the visitors too old? Or is this just the result of chance and a small sample size?
For this code
from scipy.stats import ttest_1samp import numpy as np ages = np.genfromtxt("ages.csv") print(ages) ages_mean = np.mean(ages) print(ages_mean) tstat, pval = ttest_1samp(ages, 30) print(pval)
I get these numbers
[ 32. 34. 29. 29. 22. 39. 38. 37. 38. 36. 30. 26. 22. 22.] #ages list 31.0 #true mean 0.560515588817 #pvalue
And the question asked is
Does the p-value you got with the 1 Sample T-Test make sense, knowing the mean of
The p-value says there is a 56% chance that my null hypothesis is true and the result is due to chance.
So an expected mean of 30 has 56% of chance that my null hypothesis is true, but the true mean is 31, this is pretty close to 30, i think that this result for p-value makes no sense at all. Given the true mean, it should be a much lower p-value for such a close expected mean.
Am i right in my thinking and my answer? I’m confused and have no confidence that this is a right train of thought.
Thank you for your time