what is the difference between sampling error and non sampling error?

Dear Student,
Sampling errors are the errors which are related to the size and nature of the sample which is collected for the study. Due to selecting a small size of sample for the study and due to non-representative nature (which means that sample does not represent the whole population), the value obtained may differ from the actual value of a parameter.It is less serious as it can be corrected by taking relatively larger sample.

Non- Sampling errors are the errors which are related to the collection of data. These can be: (i)Error of measurement (ii) Error of non-response (iii) Error of misinterpretation (iv) Error of calculation (v) Error of sampling bias.
Basically non- sampling error occurs when you do not collect the data properly and effectively. It is a more serious error as compared to sampling errors.


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hello friend,                                                                                                                                                                                    Sampling error  means the difference of the result because of sampling method is called sampling error and Non sampling error means to those error that arise due to adoption  of faulty means of collection of data                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          Keep posting
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