00:01
Hi, i'm david and i'm here to help you answer your question.
00:03
Now let me bring up your question here.
00:06
Let me make it bigger.
00:10
In the question here, we are going to discuss about the high -products testing.
00:14
Here we want to test whether the following observed frequency are distributed the same as the expected frequency.
00:22
Now we're given the data set and from there we need to find the test statistics sky square.
00:27
The formula equal to the summation of the observed value minus expected value.
00:31
Square divided by expected value.
00:35
So we have each pair here will be the observed and the expected one.
00:40
The first value will be the observed and the second one will be expected based on this one f on fe.
00:49
So if we apply the formula we will take the 214 we minus 206 square divided by the 206 the next pair it will be the 2 35 we minus the 2 32 square divided by the 2 32 and so on until the last pair will be the 2.
01:12
54 minus the 2 32 square divided by the 2 32.
01:19
And if we compute it, we will get 2 .14 minus 206, 2 .1 4 minus 206 square the 2526 plus the 235 minus 232 square the 1 by 22 plus the 279 minus 268 square divided by the 268 plus the 281 minus 28 square the 282 122 plus the 264 minus 288 plus the 264 minus 268 square the 1 b 268 plus 254 minus 2 32 square the 1 b 232 2 32 then get equal to the 2 .9 778 5 and a route is on to the 3 decimal places will be the 7 9 and then the next time we will compute the p value the p value equal to the problem but pretty small square with the degree freedom equal to the number of the levels minus 1.
02:39
We have the 7 levels totally.
02:42
Oh, i still have the last pair here.
02:44
I have to compute...