00:01
Once again, welcome to a new problem.
00:05
This time we're dealing with hypothesis testing.
00:12
We're dealing with hypothesis testing.
00:18
And when it comes to hypothesis testing, we have hypothesis testing for means.
00:24
And under means, we have independent samples.
00:35
T test, we have an independent sample t test, and the test statistic, the test statistic for this type of test is the same as t t equals to x -bar -1 minus x -b -2, minus mu -1, minus mu -2, and this goes to zero all over the standard error, which is the variance of the first group squared over n1 plus the variance of the second group squared over the variance of the second group over the sample size of the second group.
01:16
So we're looking at a new problem and the purpose of the problem is to determine the differences in life satisfaction scores.
01:28
Remember, the life satisfaction scores go from a low of zero to a high of 60.
01:37
And we have two sets of adults.
01:55
We have older adults over 70, and we have younger adults over 70.
02:02
And we have the scores, for example, one older adult has a score of 55.
02:10
And another one has a score of 46, for example.
02:15
So we want to determine the differences at alpha equals to 0 .05.
02:23
So we want to determine the differences at alpha is 0 .05.
02:28
So the first thing we're going to do in the problem is to write the now and alternative hypothesis.
02:34
So the two groups have the same life satisfaction scores as the now hypothesis and the alternative hypotheses were saying that the two groups have different scores.
02:47
So they do have different scores...