McGraw Hill Glencoe Algebra 2, 2012
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McGraw Hill Glencoe Algebra 2, 2012 View details
6. Confidence Intervals and Hypothesis Testing
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Exercise 1 Page 774

The maximum error of estimate E for a population mean is given by E = z * ssqrt(n).

≈ 0.096

Practice makes perfect
We want to calculate the maximum error of estimate E for the mean number of times high school seniors go out for lunch per week. The maximum error of estimate E is given by the following formula. E = z * s/sqrt(n)

Notice the mean is not needed to calculate the maximum error of estimate. The z-value corresponds to a particular confidence level, s is the standard deviation of the sample, and n is the sample size. Let's begin by finding the z-value that corresponds to the given confidence level. The table shows the most commonly used levels and corresponding z-values.

Confidence Level z-value
90 % 1.645
95 % 1.960
99 % 2.576
We want to use 90 % confidence level, so from the table we know z will be equal to 1.645. A sample consists of 145 high school seniors, therefore n = 145. A standard deviation of 0.7 is given, so consequently s = 0.7. We are ready to calculate the maximum error of estimate E.
E = z * s/sqrt(n)
E = 1.645 * 0.7/sqrt(145)
Simplify right-hand side
E = 1.645 * 0.7/sqrt(145)
E = 1.1515/sqrt(145)
E = 0.095627...
E ≈ 0.096
The maximum error of estimate E is about 0.096.