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Interpreting Survey Results

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Interpreting Survey Results

 

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Interpreting Survey Results

  1. Opinions about coronavirus pandemic. These survey results can be found at https://www.pollingreport.com/coronavirus.htm

The question posed was “Do you approve or disapprove of the way Donald Trump is handling the coronavirus outbreak?”

Sample size,  adults nationwide. The margin of error ± 3.7.

  1. 42% approved the way Donald Trump is handling the coronavirus outbreak.

55% disapprove the way Donald Trump is handling the coronavirus outbreak.

3% were unsure/ refuse to comment on the way Trump is handling coronavirus pandemic.

  1. The confidence interval for each result is found by adding/subtracting the MoE from the result.

Those who approve:

Those who disapprove: :

Those who were unsure/refuse: :

Question 4 and 5. Using the Excel template, I will enter the following variables:

sample size= 1112

Proportion of sample= 42%, 55% and 3% one after the other

For 42% proportion, Confidence interval is (0.39099-0.44901 or 39.099%-44.901%)

For 55% proportion, Confidence interval is (0.52076-0.57924 or 52.076%-57.924%)

For 3% proportion, Confidence interval is (0.01997-0.04003 or 1.997%-4.003%)

6). Many biases could be imagined that could result from this survey. The first bias might be in the choice of respondents to this survey. A selection bias might be present if the sample selection is not the actual characteristic or the best representative of the broad population. A sampling error might be present, which differs as well from what the margin of error represents, for this case, 3.7%. Secondly, we do not know about the institution which facilitated the survey activity and analysis. If the sponsoring team was an ally to Donald Trump, this could present an ethical question about the results. The survey might have been done in favor of the individual sponsoring the whole process.

 

 

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