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Question
what are two things to consider when testing your hypothesis?
- test in a fair way
- conditions are constant
- only use the information that will make your hypothesis true
- change data to fit your hypothesis
- record everything that happens
- pick and choose your subjects and data
Brief Explanations
When testing a hypothesis, it is crucial to ensure fairness in the testing process to avoid bias. Constant conditions help in accurately determining the relationship being tested. Using only information that makes the hypothesis true or changing data to fit it is unethical and bad scientific practice. Picking and choosing subjects/data can introduce bias. Recording everything ensures comprehensive data collection.
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- test in a fair way
- conditions are constant