A research center is interested in finding a state population's view on a specific candidate for governor. Researchers
identify a random sample of 1,000 people from the population and mail each person a questionnaire. The recipients are
asked to answer the questions and mail the questionnaire back to the research center. Of the responses, 54% favor the
candidate, and 46% oppose the candidate. The research center is predicting the candidate as the winner of the election. Is
the statistical conclusion drawn by the research center valid? Why or why not?

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Answer:

The statistical conclusion is not valid. The majority is slim, and there are potential issues with the survey method that could easily sway the results the other way. The central problem will be nonresponse bias. The sample of those who were mailed the survey may be well formed; however, if people who received the survey don’t mail it back in, there will be missing information from the sample.

Step-by-step explanation:

Answer:

The statistical end isn't always valid. The majority is slim, and there are capability troubles with the survey approach that would without difficulty sway the effects the opposite way. The important trouble might be nonresponse bias. The pattern of folks that had been mailed the survey can be well-formed; however, if individuals who acquired the survey don’t mail it lower back in, there might be lacking statistics from the pattern.

Step-by-step explanation:

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