Answer:
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Answer:
[See Below]
Explanation:
→ <u>Independent Variable</u>:
- The variable you change on purpose, to see certain effects.
- Doesn't depend on other variables.
- Usually the time.
→ <u>Dependent Variable</u>:
- Usually the reaction based on the independent variable.
- Refers to Independent Variable.
- The result or the experiment.
→ <u>Control Group</u>:
- Is the constant variable in all test.
- Usually is the one with changes.
→ <u>Experimental Group</u>:
- The treatment group.
- It is going to be based of of what you are trying to test.
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<u>So will this information we can conclude that:</u>
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- Independent The amount of time.
- Dependent Number of Mosquito Bites.
- Control The arm that was not sprayed.
- Experimental The arm that was sprayed.
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Repeated measures designs are extremely sensitive to finding statistically significant differences between groups because the researchers have access to data from the same participants in both test conditions.
A repeated measures design refers to the procedure of assigning participants to experimental conditions in which each respondent is assigned to all levels of the independent variable. Since the researchers have access to information from the same participants in both test conditions, repeated measures designs are hyper delicate to finding statistically significant differences between groups.
Learn more on repeated measures design -
brainly.com/question/14532150
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