00:01
So we want to perform a hypothesis test.
00:05
We need the hypotheses, first of all.
00:06
Now, we don't have the data, we can go through the steps.
00:10
So the mean age at which women had their first child was 25 in 2006.
00:17
And we have some new data, and we want to know if there's a change from 2006 to now.
00:26
So that would be, is the mean still 25, like in 2006? or has it changed? is it different? to that.
00:35
Now i'm not putting a direction here because it just asks, does the data indicate a change? so it could go either way.
00:42
So this is the correct alternative hypothesis.
00:46
Sample size is 42.
00:48
The level of significance is 5%.
00:50
The other two pieces of information we need to get from your dataset are the sample mean and the sample standard deviation.
00:58
Okay.
00:59
To perform a hypothesis test, we start by assuming the null hypothesis is true.
01:03
If you were to take every sample of size 42, take the sample means and plot them out, you'd get something approximately normal.
01:12
The sample means follow normal curve.
01:14
Their mean is same as the population mean, which we think is 25.
01:18
This standard deviation is sigma over root n.
01:21
Since we don't know sigma, the population standard deviation, we only have s.
01:25
We have to use a t -test.
01:28
If you know sigma, you get to use a z -test instead.
01:32
Now i'm going to use the critical value method.
01:35
What's my sample mean fall on this curve.
01:38
If your sample mean falls, say, here, it's not 25, but it's pretty close...