00:01
So today we are looking at surveys or experiments and whether or not there's any type of bias.
00:07
Sampling bias, wording bias, or some sort of exaggerated claim going on here.
00:10
So our scenario is that at a large high school, people want to know how many students are currently using tobacco products.
00:19
And so 80 students are called into the nervous office at random, so of the large number, the large student body, 80 are selected and asked, have you ever smoked, vaped, or chewed tobacco? and from these 80 students, 5 % said yes.
00:36
So p hat, the proportion is 0 .05.
00:40
The question we're asked is, is there any type of bias happening here? is there three types of bias that we're looking at here? sampling bias, wording bias, and response bias or response bias.
01:05
So these are the types of bias that we might be considering here.
01:09
And sampling, well sampling has to do with a group being selected more than someone else.
01:13
So i would say there's no sampling bias here because we're told that there's a large student body.
01:17
Here's the group of all the people, and it's just 80 randomly selected from here.
01:22
So that's probably not sampling bias.
01:25
Because you are looking at how many kids at the school vape or use tobacco products.
01:31
And so i wouldn't say sampling bias here.
01:33
Looks pretty evenly selected here because we're told it's random.
01:37
Wording bias, have you ever smoked, vaped, or chewed tobacco? i would say no wording bias.
01:43
It's pretty even here.
01:49
Your wording would be like, smoking is like chewing, tobacco products are bad.
01:53
Have you ever smoked, vaped, or chewed tobacco? if they prefaced this with tobacco is bad, that would be wording bias.
02:03
If they said this and then asked that question.
02:06
But they didn't...