00:01
We are looking at a hypothesis test.
00:03
So i'm going to go through the steps, skipping the ones that we can't do without the information.
00:08
And then we'll understand where we get the answer from.
00:11
So the first step of a hypothesis test is to state the hypotheses.
00:15
The null hypothesis represents no change, no difference.
00:19
It always has some kind of equal sign.
00:23
The alternative is the opposite, so it never gets an equal sign.
00:26
So the claim here is that 44 % of readers own a laptop, and then a firm wants to dispute that claim.
00:33
So 44 % is just equal to.
00:36
So it's saying, okay, the population proportion is 0 .44.
00:40
That would be the null because of that equal sign.
00:42
The alternative would be it's not 0 .44.
00:46
So those are the hypotheses they are working with.
00:48
Then you start by assuming the null hypothesis is true.
00:52
So pretend p is 0 .44.
00:53
You take a sample, you get your sample size, your sample proportion, and you ask yourself, how likely was this sample to happen? because if we get a sample and its proportion to say 0 .43, we might say, okay, it's not 0 .44, but the difference could just be down to chance.
01:11
It could just be sampling error...