Exercise
Form 12: Errors and Sources of Bias in Experiments
In this engaging exercise, students will explore various types of experimental errors and sources of bias, analyzing real-life scenarios to identify how these factors can impact research results and conclusions. Through interactive discussions and hands-on activities, learners will develop critical thinking skills while mastering the importance of accuracy and reliability in scientific experiments.
Questions
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MultiChoice
What is experimental error?
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MultiChoice
Reading a graduated cylinder at an angle instead of eye level causes:
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MultiChoice
How can a scientist minimize human error during measurements?
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MultiChoice
What is confirmation bias in scientific research?
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MultiChoice
Why is a sample size of 2 plants insufficient for a plant growth study?
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MultiChoice
Using an uncalibrated scale that always reads 2 grams too high creates:
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MultiChoice
How does double-blind testing eliminate experimenter bias in medical trials?
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MultiChoice
An unexpected breeze blowing across a digital balance during weighing causes:
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MultiChoice
Why should experimental procedures be written clearly and detailed?
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MultiChoice
Ignoring data points that contradict a hypothesis is an example of:
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MultiChoice
Repeating an experiment 10 times instead of 1 time helps to:
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MultiChoice
Which of the following best describes accuracy in scientific measurement?