A pharmaceutical company is testing a new drug to reduce blood pressure. They randomly assign patients to either the new drug or a placebo, and neither the patients nor the doctors know which treatment each patient receives. This is an example of:

A factorial design, because there are multiple factors.

A/B testing, because there are only two groups.

A quasi-experimental design, because randomization is not used.

A randomized controlled trial with double-blinding.

CertNexusCertified Data Science Practitioner (CDSP)

Domain 5Objective 2

Experimental Design CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 6)

Part of the 5.0 Testing models domain, which accounts for 4-7% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

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Questions 26–26

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A pharmaceutical company is testing a new drug to reduce blood pressure. They randomly assign patients to either the new drug or a placebo, and neither the patients nor the doctors know which treatment each patient receives. This is an example of:
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Experimental Design CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 6)

Questions 26–26

A pharmaceutical company is testing a new drug to reduce blood pressure. They randomly assign patients to either the new drug or a placebo, and neither the patients nor the doctors know which treatment each patient receives. This is an example of:

Keep studying — 5.0 Testing models