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Data Biases

Definition

Data biases refer to systematic errors or prejudices present in a dataset that can lead to inaccurate or unfair conclusions when analyzing the data.

Related terms

Sampling Bias: Sampling bias occurs when certain groups within a population are more likely to be included in a sample than others, leading to skewed results.

Confirmation Bias: Confirmation bias refers to the tendency of individuals to interpret information in a way that confirms their preexisting beliefs or hypotheses.

Algorithmic Bias: Algorithmic bias occurs when machine learning algorithms produce discriminatory outcomes due to biased training datasets or flawed programming.

"Data Biases" appears in:

Study guides (1)

  • AP Computer Science Principles - 2.3 Extracting Information from Data

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About Us

About Fiveable

Blog

Careers

Code of Conduct

Terms of Use

Privacy Policy

CCPA Privacy Policy

Resources

Cram Mode

AP Score Calculators

Study Guides

Practice Quizzes

Glossary

Cram Events

Merch Shop

Crisis Text Line

Help Center

© 2024 Fiveable Inc. All rights reserved.

AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.