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Give an example of an experiment for each of the following: a. Single-blind experiment with the subjects blinded b. Single-blind experiment with the individuals measuring the response blinded c. Double-blind experiment d. An experiment that is not possible to blind

Short Answer

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a. A sample experiment could be testing a medication where subjects do not know if they are receiving the actual medication or a placebo. b. A taste test can be a suitable experiment where the data collector is blinded from knowing the brands of the food items. c. A clinical trial to test a new vaccine where neither the subjects nor the doctors are aware of who received what can be a double-blind experiment. d. An experiment to study exercise's impact on weight loss cannot be blinded since participants are clearly aware whether they are part of the control group or the experimental group.

Step by step solution

01

Single-blind Experiment with the Subjects Blinded

In this type of experiment, the subjects or participants don't know whether they are part of the experimental group or the control group. For instance, testing the effectiveness of a medication where subjects are given either the actual medication or a placebo.
02

Single-blind Experiment with the Individuals Measuring the Response Blinded

In this experimental setup, the person who measures the experiment's output is unaware of who is in the control group or the experimental group, thus reducing the accuracy bias. For example, a taste test where the person collecting data doesn't know which food item is from which brand.
03

Double-blind Experiment

A double-blind experiment ensures that both the subjects and the people taking measurements are blind i.e., none of them are aware of who is in the control group or the experimental group. For instance, a clinical trial to test a new vaccine where neither patients nor the doctors are aware of who received the vaccine or the placebo.
04

An Experiment that is Not Possible to Blind

Some experiments cannot hide the differentiation between experimental and control groups due to the nature of the experiment. For instance, an experiment to see the impact of exercise on weight loss, participants know if they are in the group that exercises or in the control group that doesn't.

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