Locate an advertisement or commercial that implies research study results. Describe the claims made, and discuss how differences in sampling of the population might create biased results. Discuss what could account for the bias results.
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Research on the use of smart phones in the U.S
A sampling method is called biasedif it systematically favors some outcomes over others. Sampling bias is sometimes called ascertainment bias (especially in biological fields) or systematic bias. Example:
Telephone sampling is common in marketing surveys. A simple random sample may be chosen from the sampling frame consisting of a list of telephone numbers of people in the area being surveyed. This method does involve taking a simple random sample, but it is not a simple random sample of the target population (consumers in the area being surveyed.) It will miss people who do not have a phone. It may also miss people who only have a cell phone that has an area code not in the region being surveyed. It will also miss people who do not wish to be surveyed, including those who monitor calls on an answering machine and don't answer those from telephone surveyors. Thus the method systematically excludes certain types of consumers in the area.
Inferences from a biased sample are not as trustworthy as conclusions from a truly random sample.
bias occurs when the observations recorded at the end of the investigation are a non-random set of those present at the beginning of the investigation.
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Currently world over, almost everyone is using mobile phones, and people have different tests and preferences. So it will be good for business people to want to sample and know exactly what to stoke in their businesses
Jun 24th, 2015
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