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FUN 1 EO: 1.5

1 / 10

The Gaussian distribution is applied to counting applications where the mean success is expected to be greater than:

2 / 10

What is the term for the sample activity that produces a count rate statistically different from the background, accounting for efficiency?

3 / 10

What percentage of the area under a Gaussian distribution curve falls within the data point located at the mean plus or minus one standard deviation (1 σ)?

4 / 10

What distribution describes the random decay of radioactive atoms, and tends to favor values less than the average?

5 / 10

In practice, how is the error caused by background radiation mitigated in radioactivity measurements?

6 / 10

In the context of radiation measurements, what does the standard deviation (σ) describe?

7 / 10

If the system background in an automatic counting system exceeds 0.5 cpm alpha and 1 cpm beta-gamma, what action should be taken?

8 / 10

What is the critical detection level (LC) in the context of radiation measurement?

9 / 10

What is the purpose of the minimum detectable counting rate (MDCR) in radiation measurements?

10 / 10

What are the two types of counting errors associated with radioactivity measurements?

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