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For Chapter 2 through Chapter 14, the Cumulative Review Exercises include topics from preceding chapters. For this chapter, we present a few calculator warm-up exercises, with expressions similar to those found throughout this book. Use your calculator to find the indicated values.

Determining Sample Size The given expression is used to determine the size of the sample necessary to estimate the proportion of college students who have the profound wisdom to take a statistics course. Find the value and round the result to the nearest whole number.

\(\frac{{{{1.96}^2} \times 0.25}}{{{{0.03}^2}}}\)

Short Answer

Expert verified

The value of the sample size that is appropriate for estimating the proportion of students who are capable of taking a statistics course is equal to 1067.

Step by step solution

01

Given information

A population of college students is considered, and it is required to estimate the proportion of students capable of pursuing a statistics course by choosing a sample from a population of sufficient size.

02

Determining the appropriate sample size

To gain knowledge about the important characteristics of a large population of units, asmall group of unitsis selected from it and is called a sample.

As the sample does not contain all of the units, it produces some errors in the estimates of the population鈥檚 characteristics, calledsampling errors. To minimise sampling errors, anadequate sample size is to be considered.

03

  Calculations involved

Using the expression, the appropriate sample size is given as:

\(\begin{aligned}{c}\frac{{{{1.96}^2} \times 0.25}}{{{{0.03}^2}}} = \frac{{0.9604}}{{0.0009}}\\ = 1067.11\\ \approx 1067\end{aligned}\)

Thus, the appropriate sample size is equal to 1067.

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