00:01
In this question you given for a manufacturer, probability a button having a flaw is 0 .003.
00:08
In inspector, as that means, 53 shirts in an hour, each with four buttons.
00:12
So total number of buttons here is 53 times four and that will be 212.
00:19
I'm going to let x be the number of buttons are of 212 in this sample that have flaws.
00:25
N is the number of trials, there will be 212.
00:27
In each trial, i take a look at a button in this sample and see whether it has flaws or not.
00:31
So all the trials here are identical, they are independent.
00:35
And p, probability of success in a single trial is probability a button having a flaw.
00:42
There's 0 .003, and this remains constant for all the trials.
00:47
So x will follow the binomial distribution.
00:50
N is 212...