Question

An experiment is being designed to compare relief from dizziness given by a nbspnew nbspdrug comma a nbspcommonly used nbspdrug​, and a placebo. Each subject who suffers from dizziness and volunteers for the study is observed on three separate​ days, with a different treatment used each day. There are two days between​ treatments, so that a treatment does not have a​ carry-over effect for the next treatment assigned. a. What are the blocks in this block​ design? What is this type of block design​ called? b. What does it mean if the study is conducted as a​ double-blind study? c. How can randomization within the blocks be incorporated into the​ study?

Answer 1

if the experiment is properly randomized and the study reveals a statistical difference between treatments, the study can conclude that the treatment is the cause of difference.

Since, the sample size is unknown to us, we can't generalize it to the population of all hay fever sufferers.

So Statement (i) is correct but Statement (ii) is not. hence, Option(c) is the correct choice. (Ans).

Answer 2

Answer: Find the explanation below.

Explanation:

1a. Blocks in this experiment include Age, Gender, genetic differences, Individuals with preexisting health challenges, Response to drugs. Blocking is the separation of subjects into homogeneous groups so as to limit nuisance factors. Nuisance factors affect the response of the subjects of the experiment but are not of foremost importance to the experimenter.

1b. The block design is a randomized block design because the experimenter knows that there is a difference between the groups.

2. If the study is conducted as a double-blind study, it means that both the experimenter and the subjects have no knowledge of the group they fall in. That is, whether they are administered the new drug, a commonly used Drug or a placebo. This will reduce bias, a situation in which the subjects react to treatment because of some preconceived ideas they have on how the treatment will affect them.

3. Randomization involves randomly assigning subjects of an experiment to different homogeneous groups. Introducing randomization might mean first classifying the subjects by gender or age into blocks. Members from each block are now randomly assigned to the treatment groups.