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Unformatted text preview: in the sample are usually only people with strong opinions that will choose to participate and negative opinions are much stronger than positive. Thus, this can result in a biased sample. Lastly the survey questions she chose to use were wrong because it consisted of 127 questions and some had several parts. The respondent was given the option to pick or choose the questions they wanted to answer and omit resulting in the sample not being accurate. So there might have been 1 question that had 1000 responses versus 1 question that only had 100. The questions were also open ended most likely resulting in some vague responses or making it difficult to compare the meanings of the responses, because of the individuals interpretation may differ....
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This note was uploaded on 06/19/2011 for the course EN 1000 taught by Professor Bennett during the Fall '11 term at Kennesaw.
- Fall '11