Variables in the dataset dietstudy

Variable name Variable description
id Patient ID
Basetg Pre measurement lev
Final tg Post Measur. Level
Base wt pre measure level
Final wt Post measure level
A researches has collected data to investigate a research problem regarding the association between the increase of triglyceride level and the increase of weight as the result of an intervention. Although the normal triglyceride level is below 150, the researcher collected data from a variety of patients. However a colleague suggested that the researcher would possible bias the analyses parameter estimates because his sample was biased. This bias was focused on the fact of the sample's initial triglyceride level. The colleague hypothesized that the sample's initial triglyceride level was statisticall significantly above normal at p <.05.
What variables go where to construct the independent T test?????

To construct an independent t-test, you need to identify the variables that represent the two groups you want to compare. In this case, the two groups are likely to be the pre-measurement (base) triglyceride level and the post-measurement (final) triglyceride level.

Based on the information you provided, the variables that should go into the independent t-test are:

Group 1 (Pre-measurement triglyceride level):
Variable name: Basetg

Group 2 (Post-measurement triglyceride level):
Variable name: Final tg

You would compare these two groups using an independent t-test to determine if there is a statistically significant difference between the pre and post-measurement triglyceride levels. This test will help determine if the intervention had an impact on the triglyceride levels.