We give an example of applying the Central Limit Theorem. This is the first of three examples. #mikedabkowski, #mikethemathematician, #profdabkowski, #probability
100 is the number of observations (100) times the mean (1). This corresponds to the n\mu in the Central Limit Theorem. I need this term on both sides of the inequality to make our probability look like the Central Limit Theorem.
.05 is equal to what? Is another way to say0.05? Thanks Prof)
.05=1/20 is the standard deviation of each of the random variables W_i in this problem. It will be measures in pounds (lbs).
@@mikethemathematician it's clear now please keep up the great work)
Why did you subtract 100 from 100.75?
Timestamp 3:45
100 is the number of observations (100) times the mean (1). This corresponds to the n\mu in the Central Limit Theorem. I need this term on both sides of the inequality to make our probability look like the Central Limit Theorem.