How sample size compensate for poor method of sampling

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Reference no: EM13118901

On the day that this poll was writen , AOL conducted an Internet poll and asked users to respond to this question: Where do you live" If a user chose to respond, he or she could choose "urban area" or "rural area". Results included 51,318 responses of "urban" and 37,888 responses of "rural". a) Use the given poll results with a 0.01 sinificance level to test the claim that most people live in urban areas b) Which of the following best describes the sample: Convience, simple random sample, random sample, voluntary response sample, stratified sample, cluster sample c) Considering the sample method used, does the hypothesis test from Part (a) appear to be valid d) Given that the size of the sample is extremely large, can this sample size compensate for a poor method of sampling e) What valid conclusion can be made from the sample results, can we conclude anything about the whole population.

Reference no: EM13118901

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