Plotting the sample mean
Now let's plot the sample mean, so you can see more clearly how it evolves as more data becomes available.
For this exercise we'll again use the sample you generated earlier, which is available in the sample
variable. The binom
object and describe()
function have already been imported for you from scipy.stats
, and matplotlib.pyplot
is available as plt
.
This exercise is part of the course
Foundations of Probability in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate sample mean and store it on averages array
averages = []
for i in range(____, ____):
averages.____(____(sample[0:____]).____)