Explanation Margin of error is defined as the small amount of error which can be allowed in case of change of circumstances or wrong calculation. 95 % confidence interval is defined as the range of values such that it is certain that the 95 t h percentile lies within the range. Given: A 2017 NBC poll found that 53 % of the 1000 people surveyed believe that Congress should investigate possible Russian interference in the 2016 general elections Formula Used: Margin of error is calculated using the below formula: M a r g i n o f E r r o r = 1 n The 95 % confidence interval is calculated by adding and subtracting margin of error from the given rate. Calculation: Given that a 2017 NBC poll found that 53 % of the 1000 people surveyed believe that Congress should investigate possible Russian interference in the 2016 general elections Thus, we can consider that out of 1000 people, 53 % of those surveyed believe that Congress should investigate possible Russian interference in the 2016 general elections Hence, total number of adults n = 1000 Margin of error is given as follows: M a r g i n o f E r r o r = 1 n M a r g i n o f E r r o r = 1 1000 M a r g i n o f E r r o r = 1 31

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Chapter 6.D, Problem 29E

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The margin of error and the 95% confidence interval for the study − “A 2017 NBC poll found that 53% of the 1000 people surveyed believe that Congress should investigate possible Russian interference in the 2016 general elections”

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Chapter 6.D, Problem 28E

Chapter 6.D, Problem 30E

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The margin of error and the 95 % confidence interval for the study − “A 2017 NBC poll found that 53 % of the 1000 people surveyed believe that Congress should investigate possible Russian interference in the 2016 general elections”

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The margin of error and the 95% confidence interval for the study − “A 2017 NBC poll found that 53% of the 1000 people surveyed believe that Congress should investigate possible Russian interference in the 2016 general elections”

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Chapter 6 Solutions