0:00
All right.
00:01
So in this question, we have a dog trainer believes that the dog he trains have fewer accidents than dogs in the city trained by someone else.
00:09
So he thinks he's doing better.
00:11
So the first thing we have to do is write our null hypothesis.
00:15
And our null hypothesis in this case is that the average number of accidents by the dog trainer, we'll call him trainer 1, is going to be equal to the average number of accidents.
00:42
And i'm going to identify what these are so that way the reader can know what my null hypothesis is actually saying me number of accidents by other trainer so the thing to remember here is that your null hypothesis is the thing where nothing is going on nothing's happening nothing is nothing weird is going on it's just kind of things are going on as expected and if this trainer was actually not better than other trainers well the average number of accidents would be about the same so that's what our null hypothesis is.
01:15
Our alternate hypothesis is what he believes, which is that those average number of accidents is actually less than the average number from other trainers.
01:24
And basically your null hypothesis is always going to be set up some way like this.
01:28
Your null is that they're equal.
01:30
Your alternate is that they're somehow not equal, whether less than, greater than, or just not equal to.
01:36
Which brings us to our third test, our third question, which this is a one -tailed test.
01:41
And the question specifies that he believes that it is fewer than.
01:48
If it said not equal to, that would be a two -tailed test.
01:52
But it did give us a direction here, so therefore it's a one -teld test.
01:56
So number two, he finds that his dogs actually do, in fact, have fewer accidents.
02:02
So that means he has decided to reject the null based off of his decision there...