Types of Error
Accuracy vs Precision
Uncertainty
Detection Error
Measuring Uncertainty
100

What type of error causes measurements to scatter randomly around the true value?

Random error

100

Accuracy describes how close a measurement is to what?

The true/accepted value.  

100

What does measurement uncertainty tell us?

The range within which the true value is expected to lie / the limitation of our measurement.

100

A student reports a balance reading as 12.34567 g, but the balance only reads to 0.01 g. What is wrong?

Too many significant figures.

100

A graduated cylinder has markings every 1 mL. What is the estimated uncertainty of the measurement?

±0.5 mL

200

A balance consistently reads 0.003 g too high. What type of error is this?

Systematic error

200

Precision describes what?

How closely repeated measurements agree with one another.

200

A measurement is 25.0 ± 0.2 mL. What does ±0.2 mL represent?

The uncertainty of the measurement.

200

Why do analytical chemists make multiple measurements of the same sample?

To evaluate variability/reproducibility and detect unusual results.

200

A measurement is 25.0 ± 0.2 mL. What is the absolute uncertainty?

±0.2 mL

300

A student gets 10.21, 10.20, 10.22, and 10.21 g when the true value is 10.50 g. What can you say about the measurements?

High precision, low accuracy.

300

A student measures a sample three times and gets:

9.98 g, 10.01 g, 10.00 g

The accepted value is 10.00 g.

Is the data accurate, precise, both, or neither?

Both accurate and precise.

300

A balance reads 2.50 ± 0.01 g. What is the relative uncertainty?

2.500.01=0.004

or 0.4%

300

A dataset is 24.1, 24.2, 24.0, 24.1, 31.7 mg/L. What should the analyst investigate?

The 31.7 mg/L result as a possible outlier.

300

A measurement is 50.0 ± 0.5 g. What is the relative uncertainty?

1%

400

Your calibration curve consistently produces concentrations that are 5% too high. What type of error might be responsible?

Systematic error

400
  • A: 9.99, 10.01, 10.00
  • B: 9.2, 10.8, 9.7
  • Accepted = 10.00

Which dataset is more precise? Which is more accurate?

  • More precise: A — the values are very close to each other.
  • More accurate: A — the values are also very close to the accepted value of 10.00.
400

If A=10.0±0.2 and B=5.0±0.1, what is the uncertainty in A+B?

For addition/subtraction:

uA+B= (uA2+uB2)^(1/2)

400

A calibration curve has an R² value of 0.998. What does this tell you about the linear relationship?

There is a very strong linear relationship.

400

A measurement is 20.0 ± 0.4 mL. What is the percent uncertainty?

2%

500

A balance has a +0.03 g calibration error. A student measures a 10.00 g sample five times:

10.21, 10.17, 10.24, 10.19, 10.22 g

What types of error are present?

  • Systematic error: Calibration error
  • Random error: Variation between measurements
  • Low accuracy, high precision
500

A method has a low % error but a high %RSD. Is it accurate, precise, both, or neither?

Accurate but not precise.

500

Calculate the relative uncertainty of:

A=2.0±0.1(10.0±0.2)(5.0±0.1) 

6.2%

500

A student gets an unexpected result. Which would be most useful for determining whether the result is reliable: repeat the measurement, change the answer, or ignore the result?

Repeat the measurement.

500

If A=10.0±0.2 and B=5.0±0.1, what is the uncertainty in A+B?

±0.22 (approximately)