What is a statistical error, and its short overview?
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It is a mistake which
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work are not given. The mistake can happen anywhere in the task.
A statistical error is
a disturbance happens when the amount is differed by an observation from its
expected number.
Types of Errors in Statistics
- Sampling errors- This error can happen while
picking up the data, where the observation doesn't matches with true
value. It occurs when the estimation is done based on a part of the
population, not the population as a whole. It happens in the sample surveys
where the bias nature of the investigator becomes the factor in sampling
the data. The investigators may select the members who are convenient to
them that can make an error as it makes the part of the population, not
the whole.
- Biased sampling errors- It takes place from the side of the investigator. They can be biased on how to pick up the data and how it can become convenient to them like choosing the technique to collect the data or in choosing the instrument in taking the data.
- Unbiased sampling errors- These are the errors which happen when the final result would be counterbalanced. If there are an extensive and large number of observations, then the unbiased errors will not become a problem in extracting the final result. Both overestimate and underestimate making has a similar chance.
- Non-sampling errors- The non-sampling errors are not
under the control of humans. These errors can be traced at the enquiry
stage. They can be found in the census as well as sampling methods. As the
numbers of units increases, non-sampling errors also increases. Some of
the reasons why it happens are-
- Choosing the wrong method of asking the questions
- Inability to recall the events because of the failure of respondent memory
- The population list is faulty.
- Incomplete coverage
- Wrong answers
- Questionnaire being vague
- Printing errors
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