00:01
So you have a f2 generation 425 flies with long wings and 94 with a curling wing phenotype.
00:09
Suppose the calculated chi -square value is 0 .15.
00:14
Using this distribution chart, what is the chi -square value range or what is the p -value range? based on this information, what do you do you accept or reject the null hypothesis? the very first thing you want to calculate the degree of freedom.
00:38
This equals the phenotype plus minus one.
00:48
You have two different phenotypes.
00:49
One is long wing, the other is curly wings.
00:52
So two minus one equals one.
00:55
So you have a degree of freedom one.
00:58
So then you go to the percentage point of the chi -square distribution with a degree of freedom one.
01:04
Then you plug in your x or chi -square value.
01:09
So the chi -square value is 0 .15.
01:13
So then you compare the critical value and the degree of freedom one.
01:18
So as you can see that 0 .1, if you compare to the critical value on the chart, 0 .15 is greater than the critical value 0 .102.
01:41
And this is also less than the other critical value, which is 0 .455.
01:49
So this is the chi -square range...