Question

1. which of the following are examples of fairness in data analysis? select all that apply.

□ picking and choosing which data to include from a dataset
□ factoring in social contexts that could create bias in conclusions
□ making sure a sample population represents all groups
□ considering systematic factors that may influence data

Explanation:

• "Picking and choosing which data to include" is biased (not fair), so it's excluded.
• "Factoring in social contexts that could create bias" helps identify and address bias, promoting fairness.
• "Making sure a sample population represents all groups" ensures representative sampling, a key part of fair data analysis.
• "Considering systematic factors that may influence data" helps account for confounding variables, aiding fair analysis.

Answer:

• Factoring in social contexts that could create bias in conclusions
• Making sure a sample population represents all groups
• Considering systematic factors that may influence data