Plotting normal distributions
A certain restaurant chain has been collecting data about customer spending. The data shows that the spending is approximately normally distributed, with a mean of $3.15 and a standard deviation of $1.50 per customer.
This exercise is part of the course
Foundations of Probability in Python
Exercise instructions
- Import
normfromscipy.stats,matplotlib.pyplotasplt, andseabornassns. - Generate a normal distribution sample with mean
3.15and standard deviation1.5. - Plot the sample generated.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import norm, matplotlib.pyplot, and seaborn
from scipy.stats import ____
import matplotlib.pyplot as ____
import seaborn as ____
# Create the sample using norm.rvs()
sample = norm.____(loc=____, scale=____, size=10000, random_state=13)
# Plot the sample
sns.____(____)
plt.show()