Calculate the margin of error. What does the article state as the margin of error? The 2020 results are based on combineddata from telephone interviews conductedMarch 13-22, 2020, and April 1-14, 2020.The combined data represent a randomsample of 2,027 adults, aged 18 and older,living in all 50 U.S. states and the District ofColumbia. For results based on the totalsample of national adults, the margin ofsampling error is ±3 percentage points atthe 95% confidence level. All reportedmargins of sampling error includecomputed design effects for weighting.Each sample of national adults includes aminimum quota of 70% cellphonerespondents and 30% landlinerespondents, with additional minimumquotas by time zone within region. Landlineand cellular telephone numbers areselected using random-digit-dial methods.

Answered: The 2020 results are based on combined…

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Calculate the margin of error. What does the article state as the margin of error?

The 2020 results are based on combined
data from telephone interviews conducted
March 13-22, 2020, and April 1-14, 2020.
The combined data represent a random
sample of 2,027 adults, aged 18 and older,
living in all 50 U.S. states and the District of
Columbia. For results based on the total
sample of national adults, the margin of
sampling error is ±3 percentage points at
the 95% confidence level. All reported
margins of sampling error include
computed design effects for weighting.
Each sample of national adults includes a
minimum quota of 70% cellphone
respondents and 30% landline
respondents, with additional minimum
quotas by time zone within region. Landline
and cellular telephone numbers are
selected using random-digit-dial methods.

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Step 1

Margin of error:

Margin of error is a range of values that lie above and below the sample statistic of the confidence interval; it gives the percentage of number of points that differ in the obtained results from the population value.

Margin of error is calculated as the product of critical value and standard deviation or the product of critical value and standard error of the statistic.

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