_:n0a8e742c29db46f3964a868e76d09359xb2
<http://schema.org/text>
"&quot;Sampling Error\n\n\n\tA sampling error is a statistical error that occurs when an analyst does not select a sample that represents the entire population of data and the results found in the sample do not represent the results that would be obtained from the entire population.\n\tTwo major types of errors in research are sampling error and non-sampling error. Sampling error occurs when the sample used in the study is not representative of the whole population. Non-sampling error encompasses all types of errors, mostly caused by human error, such as questionnaire wording, data entry errors, and biased decisions.\n\n\nWays to minimize sample error\n\n\n\tIncrease the sample size by selecting more subjects to observe.\n\tDivide the population into the group.\n\n\nWays to minimize non-sampling error\n\n\n\tAvoid rushed or short data collection period.\n\tSend reminders to respondents\n\tEnsure confidentiality.\n\n\nConclusion: from the definition, it is clear that sample error arises when such a sample is selected that doesn’t represent the entire population. So, option (1) is correct.&quot;"
<https://testbook.com/question-answer/which-of-the-following-decisions-will-tend-to-decr--5faa4dcd9c997ec38cd7051c>