00:01
Here we're doing some hypothesis testing and we're ultimately going to be using the t test.
00:05
But to start, we have nine observations for marathon runners given their heart rate in a resting period.
00:11
And what the researchers want to know is if the average resting heart rate is 60 at 1 % significance.
00:18
So for this hypothesis test, let's start by identifying our null and alternative hypothesis.
00:25
So our null hypothesis is going to be that the average or mu is equal to 60, with an alternative hypothesis that it's not equal to 60.
00:41
All right, our next step is going to be to calculate our test statistics.
00:46
So that's going to be calculating t.
00:48
Now, t, if we're calculating it, is equal to our mean of our sample, so our sample mean minus our population, so whatever value we're hoping it's going to be.
01:02
So mu, so in this case it's going to be 60, divided by our standard deviation.
01:08
So going ahead and calculating for the mean and standard deviation, i just did this in excel, but we can start to plug in some values...