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Overview
7th Grade Math
Proportionality
15. TX.7.6.F
15.2 Influencing factors in data collection
Factors That Can Bias Data Collection
A study can calculate everything correctly and still mislead, if the underlying data was collected unevenly.
What You'll Learn
A study can be calculated correctly and still mislead if the data was collected poorly.
Sampling bias: the people or items sampled don't represent the full population.
Wording bias: a leading question nudges respondents toward an answer.
Timing bias: when data is collected can skew results tied to season or events.
Response bias: people don't always answer honestly, especially on sensitive topics.
What You'll Practice
1
Analyzing survey questions for gender, cultural, or assumption-based bias
2
Rewriting leading questions to make them neutral and fair
3
Correcting questions with limited or biased answer choices
4
Identifying when to use rating scales instead of yes/no questions
Why This Matters
Understanding bias in data collection is critical for making fair decisions based on surveys and research. You'll use these skills to evaluate polls, news reports, and scientific studies, ensuring you can spot misleading questions and interpret data accurately in school, work, and everyday life.
Before You Start — Make Sure You Can:
This Unit Includes
7 Video lessons
Practice exercises
Learning resources
Skills
Bias Detection
Survey Design
Data Collection
Question Writing
Statistical Reasoning
Cultural Sensitivity
TX Curriculum Aligned