For the following experiment, state whether we should use - A) a one-sample z test for means; B) a one-sample t-test for means; C) a one sample z-test for proportions; D) a related samples t-test; E) an independent samples t-test with heterogeneity of variance; F) an independent samples t-test with homogeneity of variance; G) a z-test for the difference between proportions; or H) none of the above.Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., "the data are not at all normal") or otherwise indicated (viz., by the inspection of the data) which would indicate an obvious violation of an assumption.This means you must inspect the data for violations of all assumptions.Assume n is large enough, unless stated.Assume (sigma) is unknown, unless stated.

A fitness instructor takes a sample of six people to see if his weight loss program is effective.He first weighs the subjects before they begin the program, and then he weighs them at the end of the program.The data are below:

Beginning Weight:170200150188210220

Ending Weight:169181140180198210