Bias in Statistics: Definition & Examples


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question 1 of 3

Why is it important to avoid a non-representative sample when conducting a survey?

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1. A survey is handed out by loud volunteers on a street corner. Some people are suspicious of the volunteers and choose to not participate in the survey. This is an example of:

2. A political group invites people in the local communities to participate in a survey about prayer in schools. This is an example of:

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About This Quiz & Worksheet

This quiz/worksheet combo will help you test your understanding of bias in statistics. To pass the quiz, you will need to be aware of different types of biases.

Quiz & Worksheet Goals

In this assessment you'll be tested on various aspects of biases, including:

  • The definitions of different types of biases
  • Actions that produce a bias in research
  • Types of sampling that lead to bias in statistics

Skills Practiced

This quiz and worksheet allow students to test the following skills:

  • Reading comprehension - ensure that you draw the most important information from the related lesson on bias in statistics
  • Distinguishing differences - compare and contrast topics from the lesson, such as selection and response bias
  • Information recall - access the knowledge you've gained regarding the role of the biases in experiments and statistics

Additional Learning

To learn more about bias, review the accompanying lesson on Bias in Statistics: Definition & Examples. This lesson covers the following objectives:

  • Define terms related to biases, such as non-representative sample and voluntary bias
  • Learn how leading questions can alter the results of an experiment
  • Understand the differences between selection and response bias