00:06
A simple random sample of 1 ,200 adults were selected, and they were asked, in light of the huge national deficit, do you support national health insurance? 39 % responded, yes, they support national health insurance.
00:29
The question is, do we maybe have a bias in this survey? is this is the 39 % of their people that responded yes 39 % of the 1200 adults in our sample responded yes they do support the national health insurance is this an accurate number should it maybe really have been a little bit more could it have been less is there bias all right well let me mention a couple things the fact that we selected a simple random sample, this is a good thing.
01:11
You don't want voluntary response samples.
01:14
You don't want convenient samples.
01:16
You want simple random samples, where the people selected were just randomly selected.
01:22
So that's a good thing.
01:24
When you have simple random samples, that's a good way to try to avoid bias.
01:30
Now, the other thing you want to look for is a large sample size.
01:35
1 ,200 adults is a really good sample size.
01:40
So we have good things going here where we should be avoiding bias.
01:46
So at the moment, answer a looks good, where the 39 % of the adults in the sample responded, yes.
02:02
That should be reasonably accurate if we, because we have a simple random sample, because we have a large sample size, we're trying to avoid bias.
02:13
Normally we would say that 39 % that responded, yes, it should be accurate because we have a large sample size and we have a simple random sample.
02:23
So a looks pretty good because a says, you know, that the results are reasonably accurate.
02:29
But here's why i don't think a is going to be the answer.
02:32
I actually think c is going to be the answer and here's why.
02:36
I think we do have bias, even though we had a large sample size and we did conduct a simple random sampling.
02:44
I think we have bias because of the way the question in the survey was asked.
02:51
We led them...