Introductory Statistics : Using Technology,9780471448075

Introductory Statistics : Using Technology

by
Edition: 5th
ISBN13: 9780471448075
ISBN10: 0471448079
Format: Hardcover
Pub. Date: 2003-07-01
Publisher(s): Wiley
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Summary

Through four previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new Fifth Edition.

Table of Contents

Introduction
1(26)
What Is Statistics?
2(1)
Types of Statistics
3(1)
Collegians Charge On
4(1)
Population versus Sample
4(5)
Most Do Not Know Their Mail Carrier
5(2)
Yes, Looks Can Kill Your Chance for a Job
7(2)
Basic Terms
9(2)
Types of Variables
11(2)
Cross-Section versus Time-Series Data
13(1)
Sources of Data
14(2)
Summation Notation
16(10)
Uses and Misuses
Glossary
Supplementary Exercises
Self-Review Test
Mini-Project
Technology Instruction
Technology Assignments
Organizing Data
26(45)
Raw Data
27(1)
Organizing and Graphing Qualitative Data
28(6)
If You Are Productive, It Must Be Tuesday
31(1)
Favorite Doughnut Flavors
32(2)
Organizing and Graphing Quantitative Data
34(12)
Graduates in Debt
42(4)
Shapes of Histograms
46(7)
Using Truncated Axes
48(5)
Cumulative Frequency Distributions
53(4)
Stem-and-Leaf Displays
57(14)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Numerical Descriptive Measures
71(62)
Measures of Central Tendency for Ungrouped Data
72(13)
Lifespan of $1 Bill: 18 Months
75(2)
Education and Earnings
77(8)
Measures of Dispersion for Ungrouped Data
85(8)
Mean, Variance, and Standard Deviation for Grouped Data
93(8)
Use of Standard Deviation
101(6)
Here Comes the SD
104(3)
Measures of Position
107(6)
Box-and-Whisker Plot
113(20)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Appendix 3.1
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Probability
133(60)
Experiment, Outcomes, and Sample Space
134(6)
Calculating Probability
140(7)
Counting Rule
147(1)
Marginal and Conditional Probabilities
148(4)
Facing a Crowd Isn't Easy
152(1)
Mutually Exclusive Events
152(2)
Independent versus Dependent Events
154(2)
Complementary Events
156(5)
Intersection of Events and the Multiplication Rule
161(11)
Baseball Players Have ``Slumps'' and ``Streaks''
168(4)
Union of Events and the Addition Rule
172(21)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Discrete Random Variables and Their Probability Distributions
193(62)
Random Variables
194(2)
Probability Distribution of a Discrete Random Variable
196(8)
Mean of a Discrete Random Variable
204(2)
Aces High Instant Lottery Game
206(1)
Standard Deviation of a Discrete Random Variable
206(6)
Factorials and Combinations
212(6)
Playing Lotto
216(2)
The Binomial Probability Distribution
218(14)
The Hypergeometric Probability Distribution
232(3)
The Poisson Probability Distribution
235(20)
Ask Mr. Statistics
239(16)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Continuous Random Variables and the Normal Distribution
255(53)
Continuous Probability Distribution
256(6)
Distribution of Time Taken to Run a Road Race
260(2)
The Normal Distribution
262(2)
The Standard Normal Distribution
264(9)
Standardizing a Normal Distribution
273(7)
Applications of the Normal Distribution
280(6)
Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known
286(6)
The Normal Approximation to the Binomial Distribution
292(16)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Sampling Distributions
308(45)
Population and Sampling Distributions
309(2)
Sampling and Nonsampling Errors
311(4)
Mean and Standard Deviation of x
315(4)
Shape of the Sampling Distribution of x
319(7)
Applications of the Sampling Distribution of x
326(6)
Population and Sample Proportions
332(1)
Mean, Standard Deviation, and Shape of the Sampling Distribution of p
333(7)
Calling the Vote for Congress
337(3)
Applications of the Sampling Distribution of p
340(13)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Estimation of the Mean and Proportion
353(44)
Estimation: An Introduction
354(1)
Point and Interval Estimates
355(2)
Interval Estimation of a Population Mean: Large Samples
357(10)
Where Your Energy Dollar Goes
362(5)
Interval Estimation of a Population Mean: Small Samples
367(8)
Cardiac Demands of Heavy Snow Shoveling
371(4)
Interval Estimation of a Population Proportion: Large Samples
375(7)
What is Causing Job Stress?
378(4)
Determining the Sample Size for the Estimation of Mean
382(2)
Determining the Sample Size for the Estimation of Proportion
384(13)
Use and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Hypothesis Tests About the Mean and Proportion
397(54)
Hypothesis Tests: An Introduction
398(8)
Hypothesis Tests About μ for Large Samples Using the p-Value Approach
406(6)
Hypothesis Tests About a Population Mean: Large Samples
412(10)
Hypothesis Tests About a Population Mean: Small Samples
422(8)
Hypothesis Tests About a Population Proportion: Large Samples
430(21)
Employees' Concerns
435(16)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Estimation and Hypothesis Testing: Two Populations
451(60)
Inferences About the Difference Between Two Population Means for Large and Independent Samples
452(11)
Inferences About the Difference Between Two Population Means for Small and Independent Samples: Equal Standard Deviations
463(8)
Inferences About the Difference Between Two Population Means for Small and Independent Samples: Unequal Standard Deviations
471(6)
Inferences About the Difference Between Two Population Means for Paired Samples
477(10)
Inferences About the Difference Between Two Population Proportions for Large and Independent Samples
487(24)
Teenagers But Out of Smoking
492(19)
Use and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Chi-Square Tests
511(44)
The Chi-Square Distribution
512(3)
A Goodness-of-Fit Test
515(9)
Up with `the Color Purple'
520(4)
Contingency Tables
524(1)
A Test of Independence or Homogeneity
525(12)
Inferences About the Population Variance
537(18)
Use and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Analysis of Variance
555(25)
The F Distribution
556(2)
One-Way Analysis of Variance
558(22)
Uses and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Simple Linear Regression
580(63)
Simple Linear Regression Model
581(2)
Simple Linear Regression Analysis
583(15)
Regression of Heights and Weights of NBA Players
591(7)
Standard Deviation of Random Errors
598(2)
Coefficient of Determination
600(5)
Inferences About B
605(5)
Linear Correlation
610(7)
Regression Analysis: A Complete Example
617(7)
Using the Regression Model
624(4)
Cautions in Using Regression
628(15)
Use and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
Nonparametric Methods
643(1)
The Sign Test
644(15)
The Wilcoxon Signed-Rank Test for Two Dependent Samples
659(8)
The Wilcoxon Rank Sum Test for Two Independent Samples
667(7)
The Kruskal-Wallis Test
674(6)
The Spearman Rho Rank Correlation Coefficient Test
680(4)
The Runs Test for Randomness
684
Use and Misuses
Glossary
Key Formulas
Supplementary Exercises
Advanced Exercises
Self-Review Test
Mini-Projects
Technology Instruction
Technology Assignments
APPENDIX A SAMPLE SURVEYS, SAMPLING TECHNIQUES, AND DESIGN OF EXPERIMENTS
1(1)
A.1 Sources of Data
1(3)
A.1.1 Internal Sources
1(1)
A.1.2 External Sources
2(1)
A.1.3 Surveys and Experiments
2(1)
Surveys
2(1)
Case Study A--1 Is it a Simple Question?
3(1)
Experiments
3(1)
A.2 Sample Surveys and Sampling Techniques
4(7)
A.2.1 Why Sample?
4(1)
Time
4(1)
Cost
4(1)
Impossibility of Conducting a Census
4(1)
A.2.2 Random and Nonrandom Samples
5(1)
A.2.3 Sampling and Nonsampling Errors
6(1)
Sampling or Chance Error
6(1)
Nonsampling or Systematic Errors
6(2)
A.2.4 Random Sampling Techniques
8(1)
Simple Random Sampling
9(1)
Systematic Random Sampling
10(1)
Stratified Random Sampling
10(1)
Cluster Sampling
11(1)
A.3 Design of Experiments
11(4)
Case Study A--2 Do Antibacterial Soaps Work?
15
Exercises
Advanced Exercises
Glossary
APPENDIX B EXPLANATION OF DATA SETS
1(1)
APPENDIX C STATISTICAL TABLES
1(1)
I Random Numbers
2(4)
II Factorials
6(1)
III Values of nCx (Combination)
7(1)
IV Table of Binomial Probabilities
8(9)
V Values of e-λ
17(2)
VI Table of Poisson Probabilities
19(6)
VII Standard Normal Distribution Table
25(1)
VIII The t Distribution Table
26(2)
IX Chi-Square Distribution Table
28(1)
X The F Distribution Table
29(4)
XI Critical Values of X for the Sign Test
33(1)
XII Critical Values of T for the Wilcoxon Signed-Rank Test
34(1)
XIII Critical Values of T for the Wilcoxon Rank Sum Test
35(1)
XIV Critical Values for the Spearman Rho Rank Correlation Coefficient Test
36(1)
XV Critical Values for a Two-Tailed Runs Test with α = .05
37
Answers to Selected Odd-Numbered Exercises and Self-Review Tests 1(1)
Photo Credits 1(1)
Index 1

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