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3 cards from this section. Quick, good the night before a test.
What type of error is caused by using a faulty measuring tool?
Think about whether the error is consistent.
What can reduce random errors in measurements?
Consider how we deal with unpredictable variations.
What type of error occurs when a measuring tool is faulty?
Consider if the error repeats itself every time.
True or False: Random errors can be completely eliminated.
Review if all variables can indeed be controlled.
Evaluate how both systematic and random errors could affect the reading of a newly developed weight scale that consistently reads 5 kg less than the actual weight, and a user’s fluctuating reading due to not stabilizing the scale.
Analyze both consistent biases and unpredictable variances.
A physics lab aims to measure the width of a desk. If repeated measurements yield 1.2m, 1.5m, and 1.3m, discuss how systematic and random errors might be present.
Think about potential biases in measurements as well as random alterations.
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