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Compare sampling and bootstrap means

To make calculation easier, distributions similar to those calculated from the previous exercise have been included, this time using a sample size of 5000.

spotify_population, spotify_sample, sampling_distribution, and bootstrap_distribution are available; pandas and numpy are loaded with their usual aliases.

This exercise is part of the course

Sampling in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate the population mean popularity
pop_mean = ____

# Calculate the original sample mean popularity
samp_mean = ____

# Calculate the sampling dist'n estimate of mean popularity
samp_distn_mean = ____

# Calculate the bootstrap dist'n estimate of mean popularity
boot_distn_mean = ____

# Print the means
print([pop_mean, samp_mean, samp_distn_mean, boot_distn_mean])
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