Math 146: Morgan-Krick, V. (Fall 2022): Bias in data
Bias in data
What is dataset bias?
Numbers are supposed to be unbiased, right? It often is not the case depending on how we collect data, and how we interpret it.
This page is dedicated to creating an awareness of bias in data. You are not responsible for accounting for bias in your datasets, but it is important to be aware that it exists, especially if you plan on working with data as a career, or part of your career.
Bias in data information from the Web
- The 6 most common types of bias when working with datafrom the article:
"Wait, I thought data was supposed to help me be objective? It’s true, working with data helps you to make better decisions, anchored in reality rather than opinion. But just because you’re working with data, doesn’t mean that your biases can’t distort how you’re seeing the world."
Bias in data collection - a discussion
- A discussion with Professor Brinda Sivaramakrishnan and Dr. Judy Loveless-MorrisThis is an orientation video for students of the BAS in Community Health course "Community Health Advocacy", but they address bias in data collecting and analysis.(You may be asked to log in with your TCC credentials.)
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