00:01
A report classified fatal bicycle accidents according to the month in which the accident occurred, resulting in the accompanying table.
00:09
So the table is presented to us.
00:14
Our a used the given data to test the null hypothesis.
00:20
So our null hypothesis is that the proportion for month 1 is equal to 1 .12.
00:27
The proportion for month 2 is equal to 1 .12th.
00:34
There we go.
00:36
All the way through the proportion for month 12 would be equal to 112.
00:39
Basically, they are all equal to 112.
00:43
And we're going to test this at alpha equals 0 .01.
00:49
And if that's the null hypothesis, then the alternative hypothesis is that at least one proportion is not 112th.
01:12
So our mean for this would be 59 .75.
01:23
So if we totaled all those accidents and divided by 12, our mean should be 59 .75.
01:31
This is going to be a kai square test.
01:35
So when we calculate the test statistic, we are going to, and again, i'm going to write the first one out, but then i'm just for the sake of time, not going to write the whole thing out...