Population & sampling distribution variation
You just calculated the mean of the sampling distribution and saw how it is an estimate of the corresponding population parameter. Similarly, as a result of the central limit theorem, the standard deviation of the sampling distribution has an interesting relationship with the population parameter's standard deviation and the sample size.
attrition_pop, sampling_distribution_5, sampling_distribution_50, and sampling_distribution_500 are available; numpy is loaded with its usual alias.
This exercise is part of the course
Sampling in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate the std. dev. of the mean attritions for each sampling distribution
sd_of_means_5 = ____
sd_of_means_50 = ____
sd_of_means_500 = ____
# Print the results
print(sd_of_means_5)
print(sd_of_means_50)
print(sd_of_means_500)