STEM Excellence Series: Empowering the Next Generation

BIASED QUESTION

BIASED QUESTION

Definition Of Biased Question

A Biased Question is a question worded in such a way that a particular answer is favored over others.

Also a biased question makes assumptions that may or may not be true.

Examples of Biased Question

Do you want to eat a hamburger or the usual vegetable sandwich?
This question is unfair, because it favors hamburger over vegetable sandwich.
Is green your favorite color?
This question is asked based on an assumption, i.e. the person to whom this question is asked may or may not like green color. .

Video Examples: Biased Questions

Solved Example on Biased Question

Ques: Is the following question biased? Say yes or no. 'Do you watch movies directed by Steven Spielberg'?

Choices:

A. Yes
B. No
Correct Answer: B

Solution:

Step 1: No, the given question is not biased, because neither does it favor one answer over others nor does it make any assumption.

Real-world Connections for Biased Question

Usually companies use biased questions in their advertisements or marketing surveys to make people favor their products over others. 

Quick Summary

  • A biased question favors a specific answer.
  • Biased questions may include assumptions.
  • Companies often use biased questions in surveys to influence customers.
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🍎 Teacher Insights

When teaching about biased questions, provide examples from real-world surveys and encourage students to rewrite the questions to remove the bias.

🎓 Prerequisites

  • Basic understanding of surveys
  • Awareness of different question types

Check Your Knowledge

Q1: Which of the following is an example of a biased question?

Frequently Asked Questions

Q: How can I identify a biased question?
A: Look for language that pressures the respondent to agree with a particular viewpoint or assumes certain information about the respondent.

Q: Why are biased questions problematic?
A: They can skew survey results, leading to inaccurate conclusions and potentially flawed decision-making based on the data.

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