7.2 Sampling Distribution of the Mean (Updated)

0:22 Overview of Sampling Distribution
3:12 Central Limit Theorem
4:40 z-Value for Sampling Distribution (Standardizing)
5:40 Practice Problem 7.2.23
10:00 Excel Demo of 7.2.23

[@shaunlorenztan8129]

note to self: theorem 1: studying the mean of a sample is the same as the mean of the entire population central Limit theorem: for any sample size, it eventually reaches a normal distribution if the sample population is large enough

[@user-ng3qb5md6l]

Thnx

[@terrijeffares2437]

Thank you so much.

[@user-eb8yj5yc3y]

Thank you keep it up

[@shaunlorenztan8129]

in z equation, sigma/square root of n is the srandard error

[@wooddog007]

@9:40 ... cumulative (true) means Excel is adding all the probabilities to the LEFT. That is why you need to subtract it from 1 to get all the probabilities to the RIGHT. You should put a correction in this video.