Explanation: The standard uncertainty where the available information is present with a possible variability of input variables is evaluated by Type-B method of evaluation. For making Type-B evaluations critical thinking, intellectual honesty and professional skill are required.

Explanation: Type-B method is a part of modern approach, it’s another part is Type-A method. Type-B evaluation of uncertainty use manufacturer’s specifications like previous measurement data for material or measuring instrument.

Explanation: The coverage factor is specified either as one numerical value or may be stated at a multiple of sigma. The uncertainty or we can say standard can be obtained by the dividing the given value by the multiple.

Explanation: The value of uncertainty may be taken from a reference value from the literature, a resultant value of a previous measurement, using the standard uncertainty for which calibration certificate is available or could be evaluated on the basis of experience.

Explanation: The standard uncertainty will be obtained by dividing the given value by the multiple. For example, if a calibration certificate states the uncertainty at 5a, the standard uncertainty is then simply, quoted uncertainty/5.

Explanation: Rectangular distribution is used when the limits can be determined and the value of the measurand is equally likely to lie anywhere within the limits.

Explanation: Triangular distribution of Type-B evaluation is used when it is known that most of the values used are more likely to be near the centre of the distribution, rather than at the extreme limits.

Explanation: The sensitivity coefficient describes to what extent the output estimate is influenced by variation of the input estimate. The sensitivity coefficient can be calculated by varying the quantity over range of uncertainty list and measuring its influence on the measurand.

Explanation: Resolution, Scale Size and Quantization, Hysteresis, Common Mode Voltage, Installation, Nonlinearity or Linearity, Spatial Variation, Loading uncertainties, Sensitivity and Zero offset, these all are Type-B uncertainties.

Explanation: U-probability distribution of Type-B evaluation method of uncertainty is used when the values are at extreme limits and values are least at mean for example Arcsin distribution. Standard uncertainty = a/√2.