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.
Deze oefening maakt deel uit van de cursus
Sampling in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# 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)