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6

Random Sampling and

Data Description

CHAPTER OUTLINE

LEARNING OBJECTIVES

After careful study of this chapter you should be able to do the following:

1. Compute and interpret the sample mean, sample variance, sample standard deviation, sample me-
   dian, and sample range


2. Explain the concepts of sample mean, sample variance, population mean, and population variance


3. Construct and interpret visual data displays, including the stem-and-leaf display, the histogram,
   and the box plot


4. Explain the concept of random sampling


5. Construct and interpret normal probability plots


6. Explain how to use box plots and other data displays to visually compare two or more samples of data


7. Know how to use simple time series plots to visually display the important features of time-
   oriented data.
   CD MATERIAL


8. Interpret probability plots for distributions other than normal.

Answers for most odd numbered exercises are at the end of the book. Answers to exercises whose

numbers are surrounded by a box can be accessed in the e-Text by clicking on the box. Complete

worked solutions to certain exercises are also available in the e-Text. These are indicated in the

Answers to Selected Exercises section by a box around the exercise number. Exercises are also

available for some of the text sections that appear on CD only. These exercises may be found within

the e-Text immediately following the section they accompany.

6-1 DATA SUMMARY AND DISPLAY

6-2 RANDOM SAMPLING

6-3 STEM-AND-LEAF DIAGRAMS

6-4 FREQUENCY DISTRIBUTIONS

AND HISTOGRAMS

6-5 BOX PLOTS

6-6 TIME SEQUENCE PLOTS

6-7 PROBABILITY PLOTS

6-8 MORE ABOUT PROBABILITY

PLOTTING (CD ONLY)

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