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The most important advantage of experiments over observational studies is that

(a) experiments are usually easier to carry out.

(b) experiments can give better evidence of causation.

(c) confounding cannot happen in experiments.

(d) an observational study cannot have a response variable.

(e) observational studies cannot use random samples.

Short Answer

Expert verified

The correct option is (b) experiments can give better evidence of causation.

Step by step solution

01

Given information

Treatment is applied to the subjects to observe their responses.

02

Concept

The random assignment method assigns subjects to treatments based on chance. Before the treatments are applied, random assignment establishes treatment groups that are comparable (except for chance variance). In experiments, randomization and comparison combined prevent bias or systematic favoritism.

03

Explanation

Treatment is given to the individuals in an experimental study to see how they respond. It is founded on the concept of cause and effect. An observational study, on the other hand, is one in which the researcher observes the subject's reactions without imposing any conditions on them. As a result, an experimental investigation can yield a causal finding.

As a result, the best solution is (b).

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Most popular questions from this chapter

Aw, rats! A nutrition experimenter intends to compare the weight gain of newly weaned male rats fed Diet A with that of rats fed Diet B. To do this, she will feed each diet to 10 rats. She has available 10rats from one litter and 10rats from a second litter. Rats in the first litter appear to be slightly healthier.

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The Web portal AOL places opinion poll questions next to many of its news stories. Simply click your response to join the sample. One of the questions

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Instant opinion A recent online poll posed the question 鈥淪hould female athletes be paid the same as men for the work they do?鈥欌 In all, 13,147(44%)said 鈥淵es,鈥欌 15,182(50%)said 鈥淣o,鈥欌 and the remaining 1448 said, 鈥淒on鈥檛 know.鈥 In spite of the large sample size for this survey, we can鈥檛 trust the result. Why not?

What kind of error? Which of the following are sources of sampling error and which are sources of non-sampling error? Explain your answers.

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