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.

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

This bullseye demonstrates...

• High Accuracy & High Precision

• High Accuracy & Low Precision

• Low Accuracy & High Precision

• Low Accuracy & Low Precision

length?

• 3.2 cm

• 3.12 cm

• 3 cm

• 3.219 cm

Which of the following is the answer for the problem with the correct number of significant digits?

23.91 x 12.861 = 307.50651

• 308

• 307.51

• 307.5

• 307

Which of the following is the answer for the problem with the correct number of significant digits?
0.0025 x 1.41 = 0.003525

• 0.00
• 0.004
• 0.00353
• 0.0035

What is 67,490 rounded to 2 significant figures?

• 67 500
• 60 000
• 68,000
• 67, 000

Tags

CCSS.3.NBT.A.1

CCSS.4.NBT.A.3