Question

how can human bias influence data used to test hypotheses?

Explanation:

Human bias can lead to selective data collection (choosing data that supports a hypothesis), misinterpretation of data (seeing patterns that don't exist), and exclusion of contradictory data. These actions skew the data set, making it unrepresentative and potentially leading to incorrect conclusions about the hypothesis being tested.

Answer:

Human bias can influence data used to test hypotheses by causing selective data collection, misinterpretation of data, and exclusion of contradictory data, which can skew the data set and lead to incorrect conclusions.