# what are sampling errors and non sampling errors?explain with siutable examples.(6 marks)

Sampling Errors- Sampling errors refers to those errors that arise due to the size or nature of the sample selected. Such errors emerge due to the divergence between the estimated and the actual value of a parameter of a small sized sample population.

Such errors arise due to personal bias, misinterpretation of results, miscalculations, etc.

For example, Suppose the actual value of the parameter is 15 while, the estimated value is 10. Then,

Non-sampling Errors- These are referred to those errors that arise due to the faulty means of collection of data. It includes:

• Errors of measurement
• Errors of non response
• Errors of misinterpretation
• Errors of calculations
• Errors of sampling bias

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