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Asked by Peyton Bowers on Jun 16, 2024

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A pharmaceutical company will be testing a new "one-dosage fits all" medication for treating depression.The pharmaceutical company has 100 willing test subjects that will undergo a 30-day,double-blind experiment.The experiment uses the following diagram as a guide for administering the medication at various doses,from 5% to 125%. A pharmaceutical company will be testing a new one-dosage fits all medication for treating depression.The pharmaceutical company has 100 willing test subjects that will undergo a 30-day,double-blind experiment.The experiment uses the following diagram as a guide for administering the medication at various doses,from 5% to 125%. What is the most obvious factor missing from this proposed experiment? A) A control group B) A 100% dosage C) Stratifying must be used. D) Blocking must be used. E) Nothing is missing.Basic variations have been accounted for. What is the most obvious factor missing from this proposed experiment?

A) A control group
B) A 100% dosage
C) Stratifying must be used.
D) Blocking must be used.
E) Nothing is missing.Basic variations have been accounted for.

Control Group

A collection of participants in a study or experiment who do not undergo any intervention by the researchers, serving as a control to compare with the outcomes of those receiving the treatment.

Dosage Variations

Differences in the amount or concentration of a medicinal substance prescribed or administered.

Double-Blind Experiment

A study design where both the participants and the researchers are unaware of which individuals receive the treatment or the placebo, eliminating bias.

  • Understand the importance of incorporating a control group within experimental studies.
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MC
María CamilaJun 16, 2024
Final Answer :
A
Explanation :
The most obvious factor missing from this proposed experiment is a control group. A control group is a group that does not receive the medication being tested, and is used as a baseline for comparison. Without a control group, it is difficult to determine if the medication is actually producing positive effects, or if any observed changes are due to other factors.

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