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How does bias in the data affect experimental results?
A. Bias makes the data harder to analyze.
B. Bias makes the results less reliable.
C. Bias makes the results easier to interpret.
D. Bias makes the results not publishable.

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Answer:

B

Explanation:

Bias may make one side look worse than they actually are.
If you have bias data result, then you can’t trust on your outcome to be 100% accurate. So, your answer is B.


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