Introductory Statistics,9780471165460

Introductory Statistics

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Edition: 3rd
ISBN13: 9780471165460
ISBN10: 0471165468
Format: Hardcover
Pub. Date: 1997-08-01
Publisher(s): John Wiley & Sons Inc
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Summary

This revised and expanded edition is for the reader lacking a strong mathematical background. It makes statistics interesting and accessible by using realistic examples and offering clear, step-by-step explanations, sound pedagogy and quality exercise sets.

Table of Contents

Chapter 1 INTRODUCTION
1(36)
1.1 WHAT IS STATISTICS?
2(1)
1.2 TYPES OF STATISTICS
3(1)
1.2.1 DESCRIPTIVE STATISTICS
3(1)
CASE STUDY 1-1 UNSCHEDULED EMPLOYEE ABSENCES
4(1)
1.2.2 INFERENTIAL STATISTICS
4(1)
EXERCISES
5(1)
1.3 POPULATION VERSUS SAMPLE
5(2)
CASE STUDY 1-2 CAUGHT DIRTY HANDED: MANY FAIL TO WASH WHEN THEY SHOULD
7(1)
CASE STUDY 1-3 DIFFERENT STUDIES, CONFLICTING RESULTS
8(2)
EXERCISES
10(1)
1.4 BASIC TERMS
10(2)
EXERCISES
12(1)
1.5 TYPES OF VARIABLES
13(2)
1.5.1 QUANTITATIVE VARIABLES
13(1)
1.5.2 QUALITATIVE OR CATEGORICAL VARIABLES
14(1)
EXERCISES
15(1)
1.6 CROSS-SECTION VERSUS TIME-SERIES DATA
15(1)
1.6.1 CROSS-SECTION DATA
15(1)
1.6.2 TIME-SERIES DATA
16(1)
1.7 SOURCES OF DATA
16(1)
EXERCISES
17(1)
1.8 SUMMATION NOTATION
17(2)
EXERCISES
19(1)
GLOSSARY
20(1)
SUPPLEMENTARY EXERCISES
21(1)
SELF-REVIEW TEST
22(2)
USING MINITAB: AN INTRODUCTION
24(11)
COMPUTER ASSIGNMENTS
35(2)
Chapter 2 ORGANIZING DATA
37(48)
2.1 RAW DATA
38(1)
2.2 ORGANIZING AND GRAPHING QUALITATIVE DATA
39(3)
2.2.1 FREQUENCY DISTRIBUTIONS
39(1)
2.2.2 RELATIVE FREQUENCY AND PERCENTAGE DISTRIBUTIONS
40(1)
2.2.3 GRAPHICAL PRESENTATION OF QUALITATIVE DATA
41(1)
CASE STUDY 2-1 PASSIVELY GREEN
42(2)
CASE STUDY 2-2 PEPPERONI ON TOP
44(1)
CASE STUDY 2-3 MOST STRESSFUL TIMES
45(1)
EXERCISES
45(2)
2.3 ORGANIZING AND GRAPHING QUANTITATIVE DATA
47(7)
2.3.1 FREQUENCY DISTRIBUTIONS
47(2)
2.3.2 CONSTRUCTING FREQUENCY DISTRIBUTION TABLES
49(2)
2.3.3 RELATIVE FREQUENCY AND PERCENTAGE DISTRIBUTIONS
51(1)
2.3.4 GRAPHING GROUPED DATA
52(2)
CASE STUDY 2-4 DRINKING, DRIVING, AND DYING
54(3)
2.3.5 MORE ON CLASSES AND FREQUENCY DISTRIBUTIONS
55(2)
2.4 SHAPES OF HISTOGRAMS
57(2)
CASE STUDY 2-5 USING TRUNCATED AXES
59(1)
EXERCISES
60(4)
2.5 CUMULATIVE FREQUENCY DISTRIBUTIONS
64(2)
EXERCISES
66(1)
2.6 STEM-AND-LEAF DISPLAYS
67(3)
EXERCISES
70(2)
GLOSSARY
72(1)
KEY FORMULAS
72(1)
SUPPLEMENTARY EXERCISES
73(4)
SELF-REVIEW TEST
77(2)
USING MINITAB
79(4)
COMPUTER ASSIGNMENTS
83(2)
Chapter 3 NUMERICAL DESCRIPTIVE MEASURES
85(66)
3.1 MEASURES OF CENTRAL TENDENCY FOR UNGROUPED DATA
86(4)
3.1.1 MEAN
86(4)
CASE STUDY 3-1 AN AVERAGE U.S. HOUSEHOLD
90(2)
3.1.2 MEDIAN
90(2)
CASE STUDY 3-2 MEDIAN INCOME OF MEN AGED 30 OR OLDER
92(1)
CASE STUDY 3-3 WHAT'S THE TAX BITE?
93(4)
3.1.3 MODE
94(2)
3.1.4 RELATIONSHIP BETWEEN THE MEAN, MEDIAN, AND MODE
96(1)
EXERCISES
97(3)
3.2 MEASURES OF DISPERSION FOR UNGROUPED DATA
100(6)
3.2.1 RANGE
101(1)
3.2.2 VARIANCE AND STANDARD DEVIATION
102(3)
3.2.3 POPULATION PARAMETERS AND SAMPLE STATISTICS
105(1)
EXERCISES
106(3)
3.3 MEAN, VARIANCE, AND STANDARD DEVIATION FOR GROUPED DATA
109(5)
3.3.1 MEAN FOR GROUPED DATA
109(2)
3.3.2 VARIANCE AND STANDARD DEVIATION FOR GROUPED DATA
111(3)
EXERCISES
114(3)
3.4 USE OF STANDARD DEVIATION
117(3)
3.4.1 CHEBYSHEV'S THEOREM
117(2)
3.4.2 EMPIRICAL RULE
119(1)
CASE STUDY 3-4 HERE COMES THE SD
120(2)
EXERCISES
122(1)
3.5 MEASURES OF POSITION
123(4)
3.5.1 QUARTILES AND INTERQUARTILE RANGE
123(2)
3.5.2 PERCENTILES AND PERCENTILE RANK
125(2)
EXERCISES
127(2)
3.6 BOX-AND-WHISKER PLOT
129(2)
EXERCISES
131(2)
GLOSSARY
133(1)
KEY FORMULAS
134(1)
SUPPLEMENTARY EXERCISES
135(5)
APPENDIX 3.1
140(2)
SELF-REVIEW TEST
142(3)
USING MINITAB
145(2)
COMPUTER ASSIGNMENTS
147(1)
MORE CHALLENGING EXERCISES (OPTIONAL) CHAPTERS 1 TO 3
148(2)
Chapter 4 PROBABILITY
151(56)
4.1 EXPERIMENT, OUTCOMES, AND SAMPLE SPACE
152(4)
4.1.1 SIMPLE AND COMPOUND EVENTS
154(2)
EXERCISES
156(2)
4.2 CALCULATING PROBABILITY
158(5)
4.2.1 THREE CONCEPTUAL APPROACHES TO PROBABILITY
159(4)
4.2.2 ODDS
163(1)
CASE STUDY 4-1 PROBABILITY AND ODDS
163(1)
EXERCISES
164(2)
4.3 COUNTING RULE
166(1)
4.4 MARGINAL AND CONDITIONAL PROBABILITIES
167(4)
CASE STUDY 4-2 PROBABILITIES OF LISTENING TO OLDIES RADIO STATIONS
171(1)
4.5 MUTUALLY EXCLUSIVE EVENTS
172(1)
4.6 INDEPENDENT VERSUS DEPENDENT EVENTS
173(2)
4.7 COMPLEMENTARY EVENTS
175(1)
EXERCISES
176(4)
4.8 INTERSECTION OF EVENTS AND THE MULTIPLICATION RULE
180(6)
4.8.1 INTERSECTION OF EVENTS
180(1)
4.8.2 MULTIPLICATION RULE
180(6)
CASE STUDY 4-3 BASEBALL PLAYERS HAVE "SLUMPS" AND "STREAKS"
186(1)
EXERCISES
187(4)
4.9 UNION OF EVENTS AND THE ADDITION RULE
191(6)
4.9.1 UNION OF EVENTS
191(1)
4.9.2 ADDITION RULE
192(5)
EXERCISES
197(2)
GLOSSARY
199(1)
KEY FORMULAS
200(1)
SUPPLEMENTARY EXERCISES
201(3)
SELF-REVIEW TEST
204(3)
Chapter 5 DISCRETE RANDOM VARIABLES AND THEIR PROBABILITY DISTRIBUTIONS
207(64)
5.1 RANDOM VARIABLES
208(2)
5.1.1 DISCRETE RANDOM VARIABLE
209(1)
5.1.2 CONTINUOUS RANDOM VARIABLE
209(1)
EXERCISES
210(1)
5.2 PROBABILITY DISTRIBUTION OF A DISCRETE RANDOM VARIABLE
210(5)
EXERCISES
215(3)
5.3 MEAN OF A DISCRETE RANDOM VARIABLE
218(2)
CASE STUDY 5-1 BANK ROLL INSTANT LOTTERY
220(2)
5.4 STANDARD DEVIATION OF A DISCRETE RANDOM VARIABLE
222(2)
EXERCISES
224(2)
5.5 FACTORIALS AND COMBINATIONS
226(4)
5.5.1 FACTORIALS
226(2)
5.5.2 COMBINATIONS
228(2)
CASE STUDY 5-2 PLAYING LOTTO
230(3)
5.5.3 USING THE TABLE OF COMBINATIONS
232(1)
EXERCISES
233(1)
5.6 THE BINOMIAL PROBABILITY DISTRIBUTION
234(7)
5.6.1 THE BINOMIAL EXPERIMENT
234(1)
5.6.2 THE BINOMIAL PROBABILITY DISTRIBUTION AND BINOMIAL FORMULA
235(6)
CASE STUDY 5-3 MISSING WOMEN
241(6)
5.6.3 USING THE TABLE OF BINOMIAL PROBABILITIES
242(2)
5.6.4 PROBABILITY OF SUCCESS AND THE SHAPE OF THE BINOMIAL DISTRIBUTION
244(2)
5.6.5 MEAN AND STANDARD DEVIATION OF THE BINOMIAL DISTRIBUTION
246(1)
EXERCISES
247(3)
5.7 THE POISSON PROBABILITY DISTRIBUTION
250(3)
CASE STUDY 5-4 ASK MR. STATISTICS
253(4)
5.7.1 USING THE TABLE OF POISSON PROBABILITIES
254(2)
5.7.2 MEAN AND STANDARD DEVIATION OF THE POISSON PROBABILITY DISTRIBUTION
256(1)
EXERCISES
257(2)
GLOSSARY
259(1)
KEY FORMULAS
259(1)
SUPPLEMENTARY EXERCISES
260(3)
SELF-REVIEW TEST
263(2)
USING MINITAB
265(5)
COMPUTER ASSIGNMENTS
270(1)
Chapter 6 CONTINUOUS RANDOM VARIABLES AND THE NORMAL DISTRIBUTION
271(55)
6.1 CONTINUOUS PROBABILITY DISTRIBUTION
272(4)
CASE STUDY 6-1 DISTRIBUTION OF TIME TAKEN TO RUN A ROAD RACE
276(2)
6.2 THE NORMAL DISTRIBUTION
278(2)
6.3 THE STANDARD NORMAL DISTRIBUTION
280(8)
EXERCISES
288(1)
6.4 STANDARDIZING A NORMAL DISTRIBUTION
289(6)
EXERCISES
295(1)
6.5 APPLICATIONS OF THE NORMAL DISTRIBUTION
296(4)
EXERCISES
300(2)
6.6 DETERMINING THE z AND x VALUES WHEN AN AREA UNDER THE NORMAL DISTRIBUTION CURVE IS KNOWN
302(4)
EXERCISES
306(2)
6.7 THE NORMAL APPROXIMATION TO THE BINOMIAL DISTRIBUTION
308(5)
EXERCISES
313(2)
GLOSSARY
315(1)
KEY FORMULAS
315(1)
SUPPLEMENTARY EXERCISES
316(3)
SELF-REVIEW TEST
319(2)
USING MINITAB
321(1)
COMPUTER ASSIGNMENTS
322(2)
MORE CHALLENGING EXERCISES (OPTIONAL) CHAPTERS 4 TO 6
324(2)
Chapter 7 SAMPLING DISTRIBUTIONS
326(47)
7.1 POPULATION AND SAMPLING DISTRIBUTIONS
327(3)
7.1.1 POPULATION DISTRIBUTION
327(1)
7.1.2 SAMPLING DISTRIBUTION
328(2)
7.2 SAMPLING AND NONSAMPLING ERRORS
330(3)
CASE STUDY 7-1 LIES, DAMN LIES, AND POLITICAL POLLS?
333(1)
EXERCISES
334(1)
7.3 MEAN AND STANDARD DEVIATION OF x
335(3)
EXERCISES
338(2)
7.4 SHAPE OF THE SAMPLING DISTRIBUTION OF x
340(5)
7.4.1 SAMPLING FROM A NORMALLY DISTRIBUTED POPULATION
340(3)
7.4.2 SAMPLING FROM A POPULATION THAT IS NOT NORMALLY DISTRIBUTED
343(2)
EXERCISES
345(2)
7.5 APPLICATIONS OF THE SAMPLING DISTRIBUTION OF x
347(4)
EXERCISES
351(2)
7.6 POPULATION AND SAMPLE PROPORTIONS
353(1)
7.7 MEAN, STANDARD DEVIATION, AND SHAPE OF THE SAMPLING DISTRIBUTION OF XXX
354(4)
7.7.1 SAMPLING DISTRIBUTION OF XXX
354(2)
7.7.2 MEAN AND STANDARD DEVIATION OF XXX
356(1)
7.7.3 SHAPE OF THE SAMPLING DISTRIBUTION OF XXX
357(1)
EXERCISES
358(2)
7.8 APPLICATIONS OF THE SAMPLING DISTRIBUTION OF XXX
360(3)
EXERCISES
363(1)
GLOSSARY
364(1)
KEY FORMULAS
365(1)
SUPPLEMENTARY EXERCISES
366(2)
SELF-REVIEW TEST
368(3)
USING MINITAB
371(1)
COMPUTER ASSIGNMENTS
372(1)
Chapter 8 ESTIMATION OF THE MEAN AND PROPORTION
373(48)
8.1 ESTIMATION: AN INTRODUCTION
374(1)
8.2 POINT AND INTERVAL ESTIMATES
375(1)
8.2.1 A POINT ESTIMATE
375(1)
8.2.2 AN INTERVAL ESTIMATE
376(1)
8.3 INTERVAL ESTIMATION OF A POPULATION MEAN: LARGE SAMPLES
377(6)
CASE STUDY 8-1 CRYING BEHAVIOR IN THE HUMAN ADULT
383(1)
EXERCISES
384(4)
8.4 INTERVAL ESTIMATION OF A POPULATION MEAN: SMALL SAMPLES
388(5)
8.4.1 THE XXX DISTRIBUTION
389(2)
8.4.2 CONFIDENCE INTERVAL FOR XXX USING THE XXX DISTRIBUTION
391(2)
CASE STUDY 8-2 CARDIAC DEMANDS OF HEAVY SNOW SHOVELING
393(1)
EXERCISES
394(3)
8.5 INTERVAL ESTIMATION OF A POPULATION PROPORTION: LARGE SAMPLES
397(3)
CASE STUDY 8-3 ASK MR. STATISTICS
400(1)
EXERCISES
401(4)
8.6 SAMPLE SIZE DETERMINATION FOR THE ESTIMATION OF MEAN
405(1)
EXERCISES
406(1)
8.7 SAMPLE SIZE DETERMINATION FOR THE ESTIMATION OF PROPORTION
407(2)
EXERCISES
409(1)
GLOSSARY
409(1)
KEY FORMULAS
410(1)
SUPPLEMENTARY EXERCISES
411(4)
SELF-REVIEW TEST
415(2)
USING MINITAB
417(3)
COMPUTER ASSIGNMENTS
420(1)
Chapter 9 HYPOTHESIS TESTS ABOUT THE MEAN AND PROPORTION
421(63)
9.1 HYPOTHESIS TESTS: AN INTRODUCTION
422(8)
9.1.1 TWO HYPOTHESIS
422(2)
9.1.2 REJECTION AND NONREJECTION REGIONS
424(1)
9.1.3 TWO TYPES OF ERRORS
424(2)
9.1.4 TAILS OF A TEST
426(4)
EXERCISES
430(1)
9.2 HYPOTHESIS TESTS ABOUT A POPULATION MEAN: LARGE SAMPLES
431(7)
EXERCISES
438(3)
9.3 HYPOTHESIS TESTS USING THE p-VALUE APPROACH
441(4)
EXERCISES
445(2)
9.4 HYPOTHESIS TESTS ABOUT A POPULATION MEAN: SMALL SAMPLES
447(5)
EXERCISES
452(4)
9.5 HYPOTHESIS TESTS ABOUT A POPULATION PROPORTION: LARGE SAMPLES
456(5)
CASE STUDY 9-1 STATISTICIANS OCCUPY FRONT LINES IN BATTLE OVER PASSIVE SMOKING
461(1)
EXERCISES
462(4)
GLOSSARY
466(1)
KEY FORMULAS
466(1)
SUPPLEMENTARY EXERCISES
467(5)
SELF-REVIEW TEST
472(2)
USING MINITAB
474(5)
COMPUTER ASSIGNMENTS
479(2)
MORE CHALLENGING EXERCISES (OPTIONAL) CHAPTER 7 TO 9
481(3)
Chapter 10 ESTIMATION AND HYPOTHESIS TESTING: TWO POPULATIONS
484(67)
10.1 INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO POPULATION MEANS FOR LARGE AND INDEPENDENT SAMPLES
485(8)
10.1.1 INDEPENDENT VERSUS DEPENDENT SAMPLES
485(1)
10.1.2 MEAN, STANDARD DEVIATION, AND SAMPLING DISTRIBUTION OF x(1)-x(2)
486(2)
10.1.3 INTERVAL ESTIMATION OF XXX(1) - XXX(2)
488(2)
10.1.4 HYPOTHESIS TESTING ABOUT XXX(1) - XXX(2)
490(3)
CASE STUDY 10-1 INFERENCES MADE BY THE BUREAU OF THE CENSUS
493(1)
EXERCISES
494(3)
10.2 INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO POPULATION MEANS FOR SMALL AND INDEPENDENT SAMPLES: EQUAL STANDARD DEVIATIONS
497(6)
10.2.1 INTERVAL ESTIMATION OF XXX(1) - XXX(2)
499(1)
10.2.2 HYPOTHESIS TESTING ABOUT XXX(1) - XXX(2)
500(3)
EXERCISES
503(3)
10.3 INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO POPULATION MEANS FOR SMALL AND INDEPENDENT SAMPLES: UNEQUAL STANDARD DEVIATIONS
506(4)
10.3.1 INTERVAL ESTIMATION OF XXX(1) - XXX(2)
507(1)
10.3.2 HYPOTHESIS TESTING ABOUT XXX(1) - XXX(2)
508(2)
EXERCISES
510(3)
10.4 INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO POPULATION MEANS FOR PAIRED SAMPLES
513(8)
10.4.1 INTERVAL ESTIMATION OF XXX
515(2)
10.4.2 HYPOTHESIS TESTING ABOUT XXX
517(4)
EXERCISES
521(2)
10.5 INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO POPULATION PROPORTIONS FOR LARGE AND INDEPENDENT SAMPLES
523(1)
10.5.1 MEAN, STANDARD DEVIATION, AND SAMPLING DISTRIBUTION OF p(1) - p(2)
524(1)
10.5.2 INTERVAL ESTIMATION OF p(1) - p(2)
524(2)
10.5.3 HYPOTHESIS TESTING ABOUT p(1) - p(2)
526(3)
CASE STUDY 10-2 MORE ON THE INFERENCES MADE BY THE BUREAU OF THE CENSUS
529(1)
EXERCISES
530(3)
GLOSSARY
533(1)
KEY FORMULAS
533(2)
SUPPLEMENTARY EXERCISES
535(5)
SELF-REVIEW TEST
540(2)
USING MINITAB
542(7)
COMPUTER ASSIGNMENTS
549(2)
Chapter 11 CHI-SQUARE TESTS
551(47)
11.1 THE CHI-SQUARE DISTRIBUTION
552(3)
EXERCISES
555(1)
11.2 A GOODNESS-OF-FIT TEST
555(6)
EXERCISES
561(3)
11.3 CONTINGENCY TABLES
564(1)
11.4 A TEST OF INDEPENDENCE OR HOMOGENEITY
565(9)
11.4.1 A TEST OF INDEPENDENCE
565(6)
11.4.2 A TEST OF HOMOGENEITY
571(3)
EXERCISES
574(4)
11.5 INFERENCES ABOUT THE POPULATION VARIANCE
578(6)
11.5.1 ESTIMATION OF THE POPULATION VARIANCE
579(2)
11.5.2 HYPOTHESIS TESTS ABOUT THE POPULATION VARIANCE
581(3)
EXERCISES
584(2)
GLOSSARY
586(1)
KEY FORMULAS
586(1)
SUPPLEMENTARY EXERCISES
587(5)
SELF-REVIEW TEST
592(2)
USING MINITAB
594(3)
COMPUTER ASSIGNMENTS
597(1)
Chapter 12 ANALYSIS OF VARIANCE
598(28)
12.1 THE F DISTRIBUTION
599(2)
EXERCISES
601(1)
12.2 ONE-WAY ANALYSIS OF VARIANCE
602(9)
12.2.1 CALCULATING THE VALUE OF THE TEST STATISTIC
604(3)
12.2.2 ONE-WAY ANOVA TEST
607(4)
EXERCISES
611(4)
GLOSSARY
615(1)
KEY FORMULAS
615(1)
SUPPLEMENTARY EXERCISES
616(3)
SELF-REVIEW TEST
619(2)
USING MINITAB
621(1)
COMPUTER ASSIGNMENTS
622(1)
MORE CHALLENGING EXERCISES (OPTIONAL) CHAPTERS 10 TO 12
623(3)
Chapter 13 SIMPLE LINEAR REGRESSION
626(70)
13.1 SIMPLE LINEAR REGRESSION MODEL
627(3)
13.1.1 SIMPLE REGRESSION
627(1)
13.1.2 LINEAR REGRESSION
628(2)
13.2 SIMPLE LINEAR REGRESSION ANALYSIS
630(8)
13.2.1 SCATTER DIAGRAM
631(2)
13.2.2 LEAST SQUARES LINE
633(3)
13.2.3 INTERPRETATION OF a AND b
636(2)
CASE STUDY 13-1 REGRESSION OF HEIGHTS AND WEIGHTS OF NBA PLAYERS
638(3)
13.2.4 ASSUMPTIONS OF THE REGRESSION MODEL
639(2)
13.2.5 A NOTE ON THE USE OF SIMPLE LINEAR REGRESSION
641(1)
EXERCISES
641(11)
13.3 STANDARD DEVIATION OF RANDOM ERRORS
646(2)
13.4 COEFFICIENT OF DETERMINATION
648(4)
EXERCISES
652(2)
13.5 INFERENCES ABOUT B
654(3)
13.5.1 SAMPLING DISTRIBUTION OF b
654(1)
13.5.2 ESTIMATION OF B
654(1)
13.5.3 HYPOTHESIS TESTING ABOUT B
655(2)
EXERCISES
657(3)
13.6 LINEAR CORRELATION
660(2)
EXERCISES
662(3)
13.7 REGRESSION ANALYSIS: A COMPLETE EXAMPLE
665(4)
EXERCISES
669(2)
13.8 USING THE REGRESSION MODEL
671(5)
13.8.1 USING THE REGRESSION MODEL FOR ESTIMATING THE MEAN VALUE OF y
672(2)
13.8.2 USING THE REGRESSION MODEL FOR PREDICTING A PARTICULAR VALUE OF y
674(2)
13.9 CAUTIONS IN USING REGRESSION
676(1)
EXERCISES
677(1)
GLOSSARY
677(1)
KEY FORMULAS
678(2)
SUPPLEMENTARY EXERCISES
680(4)
SELF-REVIEW TEST
684(3)
USING MINITAB
687(5)
COMPUTER ASSIGNMENTS
692(2)
MORE CHALLENGING EXERCISES (OPTIONAL) CHAPTER 13
694(2)
Appendix A SAMPLE SURVEYS, SAMPLING TECHNIQUES, AND DESIGN OF EXPERIMENTS 696(23)
A.1 SOURCES OF DATA 697(3)
1. INTERNAL SOURCES 697(1)
2. EXTERNAL SOURCES 697(1)
3. SURVEYS AND EXPERIMENTS 697(2)
I. SURVEYS 697(2)
CASE STUDY A-1 IS IT A SIMPLE QUESTION? 699(1)
II. EXPERIMENTS 699(1)
A.2 SAMPLE SURVEYS AND SAMPLING TECHNIQUES 700(7)
A.2.1 WHY SAMPLE? 700(1)
A.2.2 RANDOM AND NONRANDOM SAMPLES 700(2)
A.2.3 SAMPLING AND NONSAMPLING ERRORS 702(3)
1. SAMPLING OR CHANCE ERROR 702(1)
2. NONSAMPLING OR SYSTEMATIC ERRORS 702(3)
A.2.4 RANDOM SAMPLING TECHNIQUES 705(2)
1. SIMPLE RANDOM SAMPLING 705(1)
2. SYSTEMATIC RANDOM SAMPLING 706(1)
3. STRATIFIED RANDOM SAMPLING 706(1)
4. CLUSTER SAMPLING 707(1)
A.3 DESIGN OF EXPERIMENTS 707(4)
EXERCISES 711(4)
GLOSSARY 715(2)
USING MINITAB 717(1)
COMPUTER ASSIGNMENTS 718(1)
Appendix B DATA SETS 719(16)
DATA SET I CITY DATA 720(7)
DATA SET II DATA ON STATES 727(2)
DATA SET III NBA DATA 729(5)
DATA SET IV SAMPLE OF 500 OBSERVATIONS SELECTED FROM MANCHESTER (CONNECTICUT) ROAD RACE DATA 734(1)
Appendix C STATISTICAL TABLES 735(30)
TABLE I RANDOM NUMBERS
736(4)
TABLE II FACTORIALS
740(1)
TABLE III VALUES OF XXX (COMBINATION)
741(1)
TABLE IV TABLE OF BINOMIAL PROBABILITIES
742(8)
TABLE V VALUES OF e XXX
750(1)
TABLE VI TABLE OF POISSON PROBABILITIES
751(6)
TABLE VII STANDARD NORMAL DISTRIBUTION TABLE
757(1)
TABLE VIII THE XXX DISTRIBUTION TABLE
758(2)
TABLE IX CHI-SQUARE DISTRIBUTION TABLE
760(1)
TABLE X THE F DISTRIBUTION TABLE
761(4)
ANSWERS TO SELECTED ODD-NUMBERED EXERCISES AND SELF-REVIEW TESTS 765(16)
INDEX 781

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