Measurement Uncertainty Test - 2

1. What is ANOVA in statistical analysis?

Assessment of various attributes of statistics

Analysis of various attributes of statistics

Analysis of non-observable variables

Analysis of variance

2. What do you mean by Type-A evaluation of uncertainty?

Uncertainty which is characterized using an assumed probability distribution based on information available

Involves a series of independent measurements of a quantity

Evaluated by judgment of available information

Involves a series of dependent measurements of a quantity

3. Which of the following statement is true about Type-A uncertainty?
Statement 1: Most of the systematic uncertainty is Type-A uncertainty.
Statement 2: Type-A uncertainties vary each and every time a measurement is made.

T, F

T, T

F, F

F, T

4. How can Type-A uncertainties can be quantify?

Using conductivity meter

Using LCR meter

Using stepper motor

Using quality transducer

5. In which guide the symbols, terms and methods used for evaluating measurement uncertainty are described?

GUM

RUM

AUM

SUM

6. What is used as an input estimate in Type-A evaluation of uncertainty?

Variance

Geometric mean

Standard deviation

Arithmetic mean

7. Which of the following is not treated as Type-A uncertainty?

Resolution

Repeatability

Noise

Thermal stability

8. Which is not used to evaluate Type-A uncertainty?

Standard deviation

Degree of freedom

Sensitivity coefficient

Arithmetic mean

9. What is the equation for experimental variance used in Type-A evaluation of uncertainty?

σ = √[(1/n-1) ∑ⁿ_i=1 (xi+x’)²].

σ = √[(1/n+1) ∑ⁿ_i=1 (xi-x’)].

σ = √[(1/n-1) ∑ⁿ_i=1 (xi-x’)].

σ = √[(1/n-1) ∑ⁿ_i=1 (xi-x’)²].

10. What is the value of the degree of freedom used in evaluation by Type-A method? (Where N is the number of independent measurements of quantity)

N+1

N-1

N+2