In this Lesson, we learned how to use the Central Limit Theorem to find the sampling distribution for the sample mean and the sample proportion under certain conditions.
We learned that the sampling distributions are centered around the population parameter with variability. All of this theory was built knowing the parameter. Can we use this information in situations where the parameter is unknown?
The answer is yes! In the next lesson, we take our first step into inference and into the “real world” where the population parameters are unknown and need to be estimated.