Stet by step in R and attach R file and R codes too. First, load the MASS library in R.
A. Package ‘MASS’ which provides a description of the datasets available in the MASS package
Then, complete the following analysis of the identified data from the library.
B. One-sample t-test:
Use the "chem" dataset to answer the question, "is the flour production company producing whole meal flour with greater than 1 part per million copper in it?"
C. Two-sample t-test:
Use the "cats" dataset to answer the question, "do male and female cat samples have the same body weight?"
Hint: one way to get separate vectors for male and female cat body weight is to use the subset function as follows: "male <-subset(cats, subset=(cats$Sex=M))"
D. Paired t-test:
Use the "shoes" dataset to answer the question, "did material A wear better than material B?"
E. Test of equal or given proportions:
Use the "bacteria" data set to answer the question, "did the drug treatment have a significant effect of the presence of the bacteria compared with the placebo?"
F. F-test:
Use the "cats" data set to test for the variance of the body weight in male and female cats.