When would you use a paired sample test?
A paired t-test is used when we are interested in the difference between two variables for the same subject. Often the two variables are separated by time. For example, in the Dixon and Massey data set we have cholesterol levels in 1952 and cholesterol levels in 1962 for each subject.
What part of the SPSS output tells you if you should reject the null hypothesis?
The last column give the p value for the correlation coefficient. As always, if the p value is less than or equal to the alpha level, then you can reject the null hypothesis that the population correlation coefficient (ρ) is equal to 0.
Which is an example of a paired sample t test?
An example of how to perform a paired samples t-test. 1. A measurement is taken on a subject before and after some treatment – e.g. the max vertical jump of college basketball players is measured before and after participating in a training program.
Which is better paired sample or independent sample?
One way to address these order effects is to have half the people drink wine on day 1 and beer on day 2, while for the other half the order is reversed (called counterbalancing). The following table summarizes the advantages of paired samples versus independent samples: Obviously not all experiments can use the paired sample design.
How is a paired sample data analysis done?
As you will see from the next example, the analysis of paired samples is made by looking at the difference between the two measurements. As a result, this case uses the same techniques as for the one sample case, although a type 1 TTEST or the paired sample data analysis tool can also be used.
How does a paired sample hypothesis test work?
Paired Sample t Test. In paired sample hypothesis testing, a sample from the population is chosen and two measurements for each element in the sample are taken. Each set of measurements is considered a sample. Unlike the hypothesis testing studied so far, the two samples are not independent of one another.