Big Ideas Math Algebra 2, 2014
BI
Big Ideas Math Algebra 2, 2014 View details
5. Making Inferences from Sample Surveys
Continue to next subchapter

Exercise 24 Page 632

Recall that the margin of error decreases when we increase the sample size.

See solution.

Practice makes perfect
We are asked to suppose that a random sample of size n is required to produce a margin of error of ± E. Let's recall that a margin of error is one over the square root of the sample size n. ± E = ± 1/sqrt(n) ⇕ E=1/sqrt(n)Now, if we want to reduce the margin of error to ± 12E we should change the sample size n. To determine how, let's use the definition that we recalled. ± 1/2E = ± 1/21/sqrt(n) ⇕ 1/2E = 1/2* 1/sqrt(n) Let's simplify the right-hand side of the equation. Our goal is to express the margin of error as one fraction where the numerator will be 1 and the denominator will be the square root of the new sample size.
1/2E = 1/2* 1/sqrt(n)
â–Ľ
Simplify right-hand side
1/2E=1/2sqrt(n)

a = sqrt(a)* sqrt(a)

1/2E=1/sqrt(2)*sqrt(2)*sqrt(n)
1/2E=1/sqrt(2*2* n)
1/2E=1/sqrt(4n)
This means that if we want to reduce the margin of error 2 times, we need to increase the sample size 4 times. Remember that the more accurately we want our results to represent the population, the greater the sample should be.