Answer: C.Makes possible alternative explanations for the results.
Explanation:
While doing an experiment lot of variables influences dependent variable rather than independent variable.Those variables are called as confound variables. These confound variables enables possible alternative explanations for the results because these are influencing dependent variable.
For example: A Researcher wants to study a particular medicine decreases fever or not.
Part of experiment, researcher gave that medicine to patient who has fever. After consuming that medicine, patient took an injection. Here researcher can't say medicine reduced the fever. Because alternate explanation is injection also could reduce fever. Here injection is confound variable and made possible alternative explanation.
A confounding variable is problematic for an experimental design because it: Increases the variability in the...
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Sars-Cov2 Detection Experimental design As a group, design an experiment that would detect the presence of the virus that causes COVID-19 Introduction Objective Methodology- describe steps in detail Expected Results Briefly discuss any Alternative Strategies References Summary/Discussion/Conclusion
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