00:01
In your question, we're working with hypothesis testing.
00:04
And we usually have what is called a null hypothesis and an alternative hypothesis.
00:13
When we set up our test, we assume the null is true.
00:21
And then we look at the results of our study to determine what the probability is of seeing what we saw if the null is true.
00:35
So let's say, for example, we have a distribution like this.
00:40
And we're looking for something where this would be our alternative hypothesis, maybe that we wanted to be less than the null.
00:51
This region here would represent your p value, and it's the probability that what we saw happening can happen if the null is true.
01:06
So usually what happens is when this p value gets very small, basically it's saying it's very unlikely for it to occur if the null is true, so we end up rejecting the null because this was so unlikely to occur.
01:22
Now, your question is stating that the p value is less than 0 .05.
01:30
This is a common significance level that is used for testing...