00:01
The table gives the distribution of the number of hits by flying bombs in 450 equal sized areas in south london during world war ii.
00:09
Find the expected frequencies of hits given by a poisson distribution having the same mean and total as the observed distribution.
00:16
So our lambda is going to be 1 because it's going to be 450 divided by 450.
00:28
So using our poisson distribution which we're calculating for each of these the probability that x equals 0 is e to the negative 1 which would be 0 .368.
00:44
This would also be 0 .368.
00:48
This would be 0 .184, 0 .061, 0 .015, and 0 .003.
00:55
So those are the expected frequencies.
01:01
Now using the chi -square distribution and a 10 % level of significance test the adequacy of the poisson distribution.
01:08
So what we're going to find there now is we're going to find the expected amounts by taking the poisson probabilities and multiplying them by our sample size of 450.
01:20
So 165 .6, 165 .6, 82 .8, 27 .45, 6 .75, and 1 .35.
01:34
So we're going to do a chi -square test and to do that you can think of this as our observed.
01:45
So remember for a chi -square test we're going to take our observed minus our expected and we'll square that difference and then divide it by the expected...