Exercise

# Sample means

An important result in probability and statistics is that the shape of the distribution of the means of random variables tends to a normal distribution, which happens when you add random variables with **any** distribution with the same expected value and variance.

For your convenience, we've loaded `binom`

and `describe()`

from the `scipy.stats`

library and imported `matplotlib.pyplot`

as `plt`

and `numpy`

as `np`

. We generated a simulated population with size 1,000 that follows a binomial distribution for 10 fair coin flips and is available in the `population`

variable.

Instructions 1/4

**undefined XP**

Select 20 random values from the `population`

using `np.random.choice()`

.