00:01
So let's go over this question.
00:06
Discuss the differences between the single t -test, independent test, and paired samples test.
00:28
These are all kinds of t -tests.
00:32
For the one sample test, we need to determine if there's a difference between a group and the population.
00:48
In the independent sample test, we test if there's a difference between the two groups.
00:58
For paired samples, we test if there's a difference in a group between two points in time.
01:04
So the one sample t -test has four main assumptions.
01:34
The dependent variable is continuous, approximately normally distributed, and should not contain any outliers.
01:42
The independent samples t -test assumes independent samples, interval or ratio level data, random samples, normality, and homogeneity of variance.
02:21
The paired t -test makes the following assumptions.
03:11
The subjects must be independent, and for each of the paired measurements, they must be obtained from the same subject.
03:24
The measured differences are normally distributed.
03:59
In the single t -test, we need one variable.
04:08
In the independent t -test, we need two variables.
04:13
In the paired sample t -test, we also need two variables...