Big Ideas Math Algebra 2, 2014
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Big Ideas Math Algebra 2, 2014 View details
5. Making Inferences from Sample Surveys
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Exercise 27 Page 632

What would the margin of error need to be? How does it relate to the sample size?

More than 2500 people. See solution.

Practice makes perfect

Below we have the results of a survey, in which people were asked whether they prefer sports drink X or sports drink Y. We want to know how big the sample needs to be in order for us to be sure that sports drink X is truly preferred by more than half of the population.

Sports Drink X Sports Drink Y
52 % 48 %
First, recall that when a sample of size n is taken from a large population, the margin of error can be approximated with the following formula. Margin of error = ± 1/sqrt(n) Now, if the percent of the people choosing sports drink X over sports drink Y is 52 %, then the percent of the population who would respond the same way is likely to be less than the margin of error away from 52 %. Therefore, it is likely to be between the two following values. 52 %- 1/sqrt(n) and 52 %+ 1/sqrt(n) In the best scenario, 52 %+ 1sqrt(n) of the population prefers sports drink X. In the worst scenario, only 52 %- 1sqrt(n) prefers the drink. Therefore, to be confident that sports drink X is truly preferred, the lower margin would need to be higher than 50 %. 52 %- 1/sqrt(n) > 50 % Let's solve the inequality.
52 %- 1/sqrt(n) > 50 %
â–Ľ
Solve for n
52 % > 1/sqrt(n) + 50 %
2 % > 1/sqrt(n)
0.02 > 1/sqrt(n)
0.02sqrt(n) > 1
sqrt(n) > 1/0.02
n > (1/0.02)^2
n > 2500
We found that at least 2500 people need to participate in the survey in order for us to be confident that sports drink X is truly preferred by more than half of the population.