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Question
- when analyzing experimental data, what is an important consideration?
- a. only including data that supports the hypothesis
- b. reporting all data, including unexpected results
- c. avoiding statistical analysis
- d. changing the hypothesis to match the results
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Brief Explanations
In scientific research, objectivity and integrity are crucial. Option a is incorrect as it's biased. Option c is wrong because statistical analysis is often essential. Option d is improper as hypotheses shouldn't be changed just to fit results. Option b is correct as reporting all data (including unexpected results) ensures transparency and allows for proper scientific evaluation.
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B. Reporting all data, including unexpected results