Error Experiment

Which of these is NOT true for systematic errors?

• They arise due to errors in the measuring instruments used.
• Repeating the observations or increasing the sample size can eliminate them
• They are reproducible inaccuracies that are consistently in the same direction.
• They arise from the design of the study.

Which of these is NOT true for random errors?

• They are difficult to detect.
• They do not arise from the design of the study.
• They are less likely for small sample sizes.

 Systematic errors lead to a lack of:  

•  accuracy in the measurement. 
• significant digits in the measurement.
• precision in the measurement.
• gradation of the measuring instrument

 Random errors lead to a lack of:  

•  accuracy in the measurement. 
• significant digits in the measurement.
• precision in the measurement.
• gradation of the measuring instrument

Repeated measurements of a quantity can reduce the effects of

• both random errors and systematic errors
• neither random errors nor random errors
• random errors
• systematic errors

How close a measurement is to the true value is called..

• Accuracy

• Precision

• Significant

• Estimate

When a measurement is repeatable and consistent it is said to have...

• High precision
• Low precision
• High accuracy
• Low accuracy

Tags

NGSS.MS-PS3-1

This bullseye demonstrates...

• High Accuracy & High Precision
• High Accuracy & Low Precision
• Low Accuracy & High Precision
• Low Accuracy & Low Precision

Tags

NGSS.MS-PS3-1

The metal is 7.1 cm long

• 7 is the estimated digit
• 1 is the estimated digit
• 7 is the uncertain digit
• Both 7 and 1 are estimated digits

length?

• 3.2 cm
• 3.12 cm
• 3 cm
• 3.219 cm