What type of data must you collect to conduct a t-test? Why?
t-test is similar to Z, but uses a correction to make up for smaller size of a sample, especially less than 30. With smaller samples, they are less likely to be normally distributed.
Can you send me to the right website to find information on t-test and the data that is used? Please. Thank you.
To conduct a t-test, you typically need two sets of numerical data known as the "dependent variable" and the "independent variable." The type of data needed depends on the type of t-test being conducted, which can be either an independent samples t-test or a paired samples t-test.
For an independent samples t-test, you need two independent groups that are being compared. In this case, you collect the dependent variable data, which could be measurements, scores, or any other numerical data, from each group separately. The independent variable data is a nominal variable indicating the group membership (e.g., treatment group vs. control group).
For a paired samples t-test, you need one group of participants measured on two different occasions or conditions. In this case, you collect the dependent variable data for each participant in both conditions or time points. The independent variable data is not necessary in this type of t-test because the comparison is within the same group.
The purpose of collecting this data is to determine if there is a significant difference between the groups or conditions being compared. The t-test compares the means of the two groups or conditions and assesses if the difference between them is statistically significant.