xxImHisGirlxx
  • xxImHisGirlxx
explain how the quality of a survey affects the results.
Mathematics
  • Stacey Warren - Expert brainly.com
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jamiebookeater
  • jamiebookeater
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xxImHisGirlxx
  • xxImHisGirlxx
@Cardinal_Carlo
anonymous
  • anonymous
A survey may be defined as a general examination of opinions and/or experiences of people. Usually they come in the form of questionnaires or polls -- in some cases, research studies. But what makes a survey robust and reliable is its quality, particularly, of its approach. Quality may be defined as the degree of excellence something measures up to a given standard. High quality refers to the degrees above a standard, and low quality refers to those that dip below. In our case, a survey that measures up to a standard is a good survey, and one that doesn't is not. Following this trend, suppose we drop the quality of a survey. In this supposed case, we no longer have a standard to measure our results. What are we left with? Uncertain results. Say for example, a focus group was given the task of rating which of three chocolate chip cookies tasted the best. If there was no standard in this inquiry, we would definitely get wildly varying results. But suppose we also requested that the participants compared those cookies to Chips Ahoy! (no copyrights violated), now we would see more unified results -- of course, give or take a few nuances. But still, we now have a clearer set of results than the previous survey that placed no comparison criteria to narrow nor refine the results. So the take-away is that the quality of a survey is positively correlated with the certainty of its respective results. 'Certain' in the sense that by measuring the survey questions against a standard, the survey will receive more definitive, objective and unified answers than without those standards.

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