A team of veterinarians are trying to design dietary supplements for dogs that help to prevent premature birth of puppies. They begin an experiment with two different supplements and 14 pregnant female dogs at the same stage of pregnancy. The dogs are given supplements for four weeks, and at the end the vets record whether each dog had any premature births.

9. The individuals in this study are a. The veterinarians b. The puppies c. The mother dogs d. The dietary supplements

10. The veterinarians want to calculate how many mother dogs in the sample were given supplement and then had a premature birth. they need to calculate a a. Mean b. Marginal value c. Count d. Conditional probability

11. The veterinarians want to estimate how many dogs in their larger practice would be given supplement 2 and then had a premature birth. To do this, they need to calculate a a. Mean b. Marginal value c. Count d. Conditional probability

12. In the previous question, the explanatory variable is a. The puppies b. The mother dogs c. The dietary supplements d. There is no explanatory variable

13. The veterinarians need to know how many mother dogs in the sample had premature births. To calculate this, they need a a. Mean b. Count c. Marginal value d. Conditional probability

14. In the previous question, the explanatory variable is a. The puppies b. The mother dogs c. The dietary supplements d. There is really only one variable in the question

15. The veterinarians want to know how many puppies were born per mother dog, following a regimen of dietary supplement, they need to calculate a a. Mean b. Marginal value c. Count d. Frequency e. Conditional probability