00:01
In the exercise about the attitudes towards school, our p -value results were 0 .0101.
00:09
In this study of jordanian children and the amount of hemoglobin they had, our p -value was 0 .0016.
00:18
Now, the p -value is the probability of getting a sample result at least as extreme as the one we did if the null hypothesis were true.
00:30
We said that an observed result is statistically significant if it would rarely occur by chance alone.
00:39
So when our p value is less than a chosen alpha in a significance test, we say that the result is statistically significant at level alpha.
00:52
So i just wanted to remember that this word significant in the statistical sense does not necessarily mean.
01:00
Important.
01:01
It means simply not likely to happen just by chance.
01:07
The significance level alpha makes not likely more exact.
01:13
So when we look at these p values, this point zero one zero one.
01:17
Now that isn't actually a really small number.
01:22
0 .0101 is a 1 .01 is a 1 .01 percent.
01:28
Now if we have we compare generally to two alphas...