In the program below - we've tried to show resampling with
replacement to estimate a confidence interval for the mean of a sample
of size five:
The best way to learn new things is to take a practical approach
of the things you want to learn. Here is a fragment of code that demonstrates the use of statement for confidence interval in Python:
Æ’ python command
from statistics import mean
from random import choices
data = 2, 4, 6, 6, 12
means = sorted(mean(choices(data,
k=5)) for i in range(20))
print(f'The sample mean of
{mean(data):.1f} has a 90% confidence '
f'interval from {means[1]:.1f} to
{means[-2]:.1f}')
√ output
The sample mean of 6.0 has a 90%
confidence interval from 4.4 to 8.4
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