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Explain briefly the meaning of nonsampling errors. Give an example. Do such errors occur only in a sample survey, or can they occur in both a sample survey and a census?

Short Answer

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Nonsampling errors are the errors that can occur during any data collection process, not linked to the process of sampling. An example could be 'response error' when respondents give inaccurate answers due to misunderstanding, incorrect memory etc. These errors can occur in any form of data collection, be it a sample survey, a census, an experiment or a case study.

Step by step solution

01

Definition of Nonsampling Errors

Nonsampling errors refer to errors that can occur in any data collection process. They are not related to the sampling process and can potentially occur in both survey and census data. These errors might arise due to a variety of factors, like inaccurate responses or incorrect recording of responses, misinterpretation of data, or human error in handling the data.
02

Example of Nonsampling Errors

For example, a common nonsampling error could be 'response error'. This type of error usually happens when respondents give inaccurate answers. Perhaps they don't understand the question, or they may not remember the information accurately. Other reasons could be an intentional desire to present themselves in a more favorable light or to protect their privacy.
03

Occurrence of Nonsampling Errors in Surveys and Censuses

Contrary to what the name implies, nonsampling errors do not relate to the sampling process. So, they can occur in any data collection process, whether it is a sample survey, a census, an experiment, or a case study. So the answer is yes, nonsampling errors can occur in both a sample survey and a census.

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