00:01
So in this lecture, because we want to check if those that wear the seat belt like died less, basically are saying if the seat belts are effective in reducing the fatalities.
00:15
So if you consider that p1 is the proportion of people that died when they were not wearing the if you want to check if the seat belt is reducing the fatality, this means that p2 here should be smaller than p1.
00:37
So this is our claim and because this one does not include the equal sign, this is our alternative hypothesis.
00:46
The new hypothesis here is that we have the equal sign.
00:51
So the new hypothesis always has the equal sign.
00:54
So in this case, the correct option for the first part would then we need to compute the task statistics.
01:02
So we first need to find what are the proportions for each group.
01:06
So for those that were not wearing the seat belt, we have this proportion 0 .0092 and for those that were wearing the seat belt, we have 14 out of the 7 ,618, which gives us the proportion 0 .0018.
01:26
Because we are computing here performing hypothesis testing for proportions, we need to compute what we call the pooled proportion.
01:37
So basically, this here is the general proportion.
01:40
If the proportions were the same, if there was no difference between the two groups, we could like put the number of people that died together no matter if they were wearing the seat belt or not...