00:01
All right, so we're looking at the average age of lifespan of residence in their state.
00:10
And they want to see, is it less than 75 years old? so they collected a random sample of 27 ages from recent obadiary notices, and they noticed they noted the ages.
00:22
And we're going to see if this information indicates that the population being lifespan of residence is less than 75 years.
00:30
And we're testing at the alpha 0 .05.
00:34
So what is the sample mean lifespan? so we take all the values to add them up, divide by 27.
00:40
We get this number.
00:41
So 73 .2.
00:46
0 .3 years.
00:49
Sample standard deviation is 17 .68 years.
00:54
We'll round to 7.
00:57
State the null and alternative hypotheses.
01:00
So the null hypothesis is that the mean age is equal to 75.
01:07
You might even see greater than equal to 75.
01:13
But the alternative hypothesis is that the mean is less than 75, strictly less than 75.
01:22
The degrees of freedom of the t distribution, well degrees of freedom are given as n minus 1.
01:28
In this case, n is 27, so we get 26.
01:32
The value of the test statistic.
01:36
So this is part e here.
01:38
That's given as it's going to be x bar minus mu over sample standardvation for root n.
01:45
This s over root n, that's sometimes called, or that is called the standard error of the mean.
01:52
And when you have a sample, you address that.
01:57
That's a way to ensure you're capturing the true distribution, or the true mean...