Question

A scientist wishes to test a new antibiotic's ability to treat stubborn bacterial infections. He tests his hypothesis that the antibiotic works better than existing treatments by giving bacterial infections to mice and treating them with the antibiotic. He then determines how many of the mice recover from their infections. What is missing from his experimental design? :a. He is missing a control group of mice that received a half dose of the new antibiotic.b. He is missing a control group of mice that did not receive the new antibiotic.c. Nothing is missing he has done everything he needs to do for this to be a successful experiment

Answer 1

b. He is missing a control group of mice that did not receive the new antibiotic.

Step-by-step explanation:

He only has data that the antibiotic works, but not that it is more effective than existing treatments.

Answer 2

The correct answer is B. He is missing a control group of mice that did not receive the new antibiotic.

Step-by-step explanation:

To test a hypothesis effectively especially if the scientist is manipulating or introducing one variable it is necessary to use one control and one experimental group. This means, in the case presented as the scientist is giving antibiotics to test their effectiveness to treat bacterial infections, he needs to include an experiment group which are the mice that had bacterial infections and are treated with the antibiotic and a control group that are mice that do not receive the antibiotic as without this the scientists might not know the real effect of the antibiotics. This means, in this case, he is missing the control group (Option B).