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Confounding Variables in Statistics: Definition & Examples

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Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

What is the term for the result when a fake treatment causes a patient to believe that the fake treatment has worked?

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1. What is the term for the other factors that can have an effect on research results?

2. What is the term for the method in which two treatments are given to groups when few individuals are aware of the actual treatment and control groups? Is this confounding?

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About This Quiz & Worksheet

Understanding how confounding variables may change the results of an experiment can help you conduct more effective ones. This quiz and worksheet will test your knowledge of the concept, including what the term means and what methods can be used to avoid it.

Quiz & Worksheet Goals

This quiz and worksheet will assess your knowledge of the following topics:

  • What effect comes from conducting a fake treatment
  • Variables or factors that may be the causation or effect of research results
  • Another word for two treatments given to groups where the individuals are aware of the treatment and control groups
  • The term for the results of a study where two groups given different treatments report the same results
  • Identifying what kind of confounding takes place

Skills Practiced

These assets will cover the following skills:

  • Reading comprehension - ensure that you draw the most important information from the related lesson on confounding variables
  • Distinguishing differences - compare and contrast topics from the lesson, such as what constitutes as confounding variable and what does not
  • Information recall - access the knowledge you've gained regarding different methods to avoid confounding

Additional Learning

For more information on confounding variables, review the accompanying lesson called Confounding Variables in Statistics: Definition & Examples. Some objectives this lesson covers are:

  • Explaining how confounding effects statistics
  • Providing examples of each type of confounding effect
  • Discussing how a lack of effective testing methods impedes accurate results
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