00:01
So we're given a problem where we have some sample data in a chart, and then we're asked to see whether we can find the 95 % confidence interval and what that would be.
00:13
And we're determining whether the assumption of normality is reasonable.
00:18
So first off, we're going to look at the sample size.
00:21
So they give us 60, 40, 50, 30, 60, 50, 90, 30, 60, 60, and then there's three other columns underneath that that goes through with the different.
00:31
Rows.
00:32
So we can assume that the normality of sumption is satisfied because our sample size here is actually 40 when you count all those up.
00:41
And that's enough to apply a large amount of data that would make it a normality, which means that yes, we can conclude that it is satisfied because we have enough data for this to be valid.
00:55
So what we're going to do is go into our mini tab and we're going to enter all the data into a column.
01:04
So what we're going to do is pick a column.
01:08
So if you go into excel, maybe it's a.
01:11
And for a, you're going to put in, for example, a1 would be 60, and then a2 could be 40, and then 50, and then 50, 30, 60, so on, and so forth...