00:01
Okay, so we've got four questions here on sampling, kind of.
00:03
So the first one, there's a statement, and the statement is that 70 % of people asked in a survey said yes.
00:14
And it asks us what this is, what this statement is.
00:19
It's not an interval estimate because there's no interval, we've just got a single value.
00:24
And the answer here is answer c, a point estimate.
00:30
We've estimated the proportion of the population which have said yes with a single value not a range and the single value is 70%.
00:42
Okay, question two.
00:43
If the data is skewed, what type of sampling is best? so if the data is skewed, that means that there's sort of a strong, it's not very balanced.
00:53
The results aren't very balanced.
00:54
They're all skewed to one side.
00:56
So if, i don't know, if the survey was between zero and 100, you had to answer between zero and 100, then loads of them would be above 90, so that would be skewed.
01:06
And a good way to find out why that is, is to take a stratified sample, because this basically splits the population up into certain demographics or certain groups, and so you can see why this skewed data is appearing.
01:25
You can see what groups are responsible and test it that way...