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Statistics

by ; ;
Edition:
7th
ISBN13:

9780134715421

ISBN10:
013471542X
Format:
Hardcover
Pub. Date:
1/1/1996
Publisher(s):
Prentice Hall Professional Technical Reference
List Price: $86.67

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This is the 7th edition with a publication date of 1/1/1996.
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Summary

This resource emphasizes statistical inference and sound decision-making through its extensive coverage of data collection and analysis. As in earlier editions, it helps develop statistical thinking and promotes inference assessment- from the vantage point of both the consumer and the producer. Includes new Three-phased Examples that contain three components: "problem," "solution," and "look back." Provides Now Work exercises that follow each example, suggesting an end-of-section exercise that is similar in style and concept to the example. Offers new Chapter Summary Notes along with end-of- chapter material. Provides new Critical Thinking Challenges. A comprehensive resource for anyone who needs to improve their understanding of statistics.

Table of Contents

Preface ix
Chapter 1 Statistics, Data, and Statistical Thinking
1(20)
1.1 The Science of Statistics
2(1)
1.2 Types of Statistical Applications
2(2)
1.3 Fundamental Elements of Statistics
4(4)
1.4 Types of Data
8(2)
1.5 Collecting Data
10(2)
CASE STUDY 1.1 The Latest Hite Report-Controversy over the Numbers
12(2)
CASE STUDY 1.2 A "20/20" View of Survey Results-Fact or Fiction?
14(1)
1.6 The Role of Statistics in Critical Thinking
14(2)
Quick Review
16(5)
Chapter 2 Methods for Describing Sets of Data
21(70)
2.1 Describing Qualitative Data
22(7)
2.2 Graphical Methods for Describing Quantitative Data
29(6)
CASE STUDY 2.1 The "Eye Cue" Test: Does Experience Improve Performance?
35(7)
2.3 Summation Notation
42(1)
2.4 Numerical Measures of Central Tendency
43(8)
2.5 Numerical Measures of Variability
51(5)
2.6 Interpreting the Standard Deviation
56(8)
2.7 Numerical Measures of Relative Standing
64(3)
CASE STUDY 2.2 Computer Phobia and Secondary Education Teachers
67(3)
2.8 Quartiles and Box Plots (Optional)
70(7)
CASE STUDY 2.3 Suicide in Urban Jails
77(1)
2.9 Distorting the Truth with Descriptive Techniques
77(5)
Quick Review
82(9)
Chapter 3 Probability
91(64)
3.1 Events, Sample Spaces, and Probability
92(8)
CASE STUDY 3.1 Game Show Strategy: To Switch or Not to Switch
100(4)
3.2 Unions and Intersections
104(3)
3.3 Complementary Events
107(2)
3.4 The Additive Rule and Mutually Exclusive Events
109(5)
3.5 Conditional Probability
114(6)
3.6 The Multiplicative Rule and Independent Events
120(6)
CASE STUDY 3.2 O.J., Spousal Abuse, and Murder
126(4)
3.7 Probability and Statistics: An Example
130(1)
3.8 Random Sampling
131(5)
3.9 Some Counting Rules (Optional)
136(8)
CASE STUDY 3.3 Lottery Buster!
144(3)
Quick Review
147(8)
Chapter 4 Discrete Random Variables
155(38)
4.1 Two Types of Random Variables
156(3)
4.2 Probability Distributions for Discrete Random Variables
159(4)
4.3 Expected Values of Discrete Random Variables
163(3)
CASE STUDY 4.1 "The Showcase Showdown"
166(4)
4.4 The Binomial Random Variable
170(7)
CASE STUDY 4.2 The Space Shuttle Challenger: Catastrophe in Space
177(3)
4.5 The Poisson Random Variable (Optional)
180(5)
4.6 The Hypergeometric Random Variable (Optional)
185(2)
CASE STUDY 4.3 Probability in a Reverse Cocaine Sting
187(1)
Quick Review
188(5)
Chapter 5 Continuous Random Variables
193(34)
5.1 Continuous Probability Distributions
194(1)
5.2 The Uniform Distribution
195(3)
5.3 The Normal Distribution
198(11)
CASE STUDY 5.1 IQ and the Bell Curve
209(3)
5.4 Approximating a Binomial Distribution with a Normal Distribution
212(6)
5.5 The Exponential Distribution (Optional)
218(3)
CASE STUDY 5.2 Is New Always Better Than Used?
221(2)
Quick Review
223(4)
Chapter 6 Sampling Distributions
227(26)
6.1 What Is a Sampling Distribution?
228(6)
6.2 Properties of a Sampling Distribution: Unbiasedness and Minimum Variance
234(4)
6.3 The Central Limit Theorem
238(8)
CASE STUDY 6.1 The Insomnia Pill
246(1)
Quick Review
247(6)
Chapter 7 Inferences Based on a Single Sample: Estimation with Confidence Intervals
253(36)
7.1 Large-Sample Confidence Interval for a Population Mean
254(7)
7.2 Small-Sample Confidence Interval for a Population Mean
261(8)
7.3 Large Sample Confidence Interval for a Population Proportion
269(3)
CASE STUDY 7.1 Suicide in Urban Jails-Revisited
272(4)
7.4 Determining the Sample Size
276(4)
CASE STUDY 7.2 Is Caffeine Addictive?
280(2)
Quick Review
282(7)
Chapter 8 Inferences Based on a Single Sample: Tests of Hypotheses
289(50)
8.1 The Elements of a Test of Hypothesis
290(4)
CASE STUDY 8.1 Statistics Is Murder!
294(2)
8.2 Large-Sample Test of Hypothesis About a Population Mean
296(7)
8.3 Observed Significance Levels: p-Values
303(5)
8.4 Small-Sample Test of Hypothesis About a Population Mean
308(6)
8.5 Large-Sample Test of Hypothesis About a Population Proportion
314(4)
CASE STUDY 8.2 Verifying Petitions-How Many to Check?
318(2)
8.6 Calculating Type II Error Probabilities: More About Beta (Optional)
320(7)
8.7 Inferences About a Population Variance (Optional)
327(6)
Quick Review
333(6)
Chapter 9 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
339(62)
9.1 Comparing Two Population Means: Independent Sampling
340(8)
CASE STUDY 9.1 Detection of Rigged Milk Price
348(11)
9.2 Comparing Two Population Means: Paired Difference Experiments
359(7)
CASE STUDY 9.2 An IQ Comparison of Identical Twins Reared Apart
366(5)
9.3 Comparing Two Population Propertions: Independent Sampling
371(7)
9.4 Determining the Sample Size
378(3)
9.5 Comparing Two Population Variances: Independent Sampling (Optional)
381(11)
Quick Overview
392(9)
Chapter 10 Analysis of Variance: Comparing More Than Two Means
401(72)
10.1 Elements of a Designed Experiment
402(5)
10.2 The Completely Randomized Design
407(15)
10.3 Multiple Comparisons of Means
422(3)
CASE STUDY 10.1 Can Therapy Help Binge Eaters?
425(4)
10.4 The Randomized Block Design
429(15)
10.5 Factorial Experiments
444(10)
CASE STUDY 10.2 Anxiety Levels and Mathematical Achievement
454(7)
Quick Review
461(12)
Chapter 11 Simple Linear Regression
473(62)
11.1 Probabilistic Models
474(4)
11.2 Fitting the Model: The Least Squares Approach
478(10)
11.3 Model Assumptions
488(1)
11.4 An Estimator of o-2
489(4)
11.5 Assessing the Utility of the Model: Making Inferences About the Slope Beta 1
493(7)
11.6 The Coefficient of Correlation
500(4)
11.7 The Coefficient of Determination
504(5)
11.8 Using the Model For Estimation and Prediction
509(5)
CASE STUDY 11.1 Statistical Assessment of Damage to Bronx Bricks
514(7)
11.9 Simple Linear Regression: An Example
521(3)
Quick Review
524(11)
Chapter 12 Multiple Regression
535(70)
12.1 Multiple Regression: The Model and the Procedure
536(1)
12.2 Fitting the Model: The Least Squares Approach
537(4)
12.3 Model Assumptions
541(2)
12.4 Inferences About the Beta Parameters
543(10)
12.5 Checking the Usefulness of a Model: R(2) and the Analysis of Variance F-Test
553(12)
12.6 Using the Model for Estimation and Prediction
565(2)
12.7 Multiple Regression: An Example
567(4)
CASE STUDY 12.1 Predicting the Price of Vintage Red Bordeaux Wine
571(2)
12.8 Residual Analysis: Checking the Regression Assumptions
573(10)
CASE STUDY 12.2 Analyzing Water/Oil Mixtures in High Electric Fields
583(2)
12.9 Some Pitfalls: Estimability, Multicollinearity, and Extrapolation
585(8)
Quick Review
593(12)
Chapter 13 Model Building
605(80)
13.1 The Two Types of Independent Variables: Quantitative and Qualitative
607(2)
13.2 Models with a Single Quantitative Independent Variable
609(7)
13.3 Models with Two or More Quantitative Independent Variables
616(8)
13.4 Testing Portions of a Model
624(10)
13.5 Models with One Qualitative Independent Variable
634(8)
13.6 Comparing the Slopes of Two or More Lines
642(12)
13.7 Comparing Two or More Response Curves
654(2)
CASE STUDY 13.1 Building a Model for Condo Sale Prices
656(14)
13.8 Stepwise Regression
670(8)
Quick Review
678(7)
Chapter 14 The Chi-Square Test and the Analysis of Contingency Tables
685(30)
14.1 One-Dimensional Count Data: The Multinomial Distribution
686(7)
14.2 Contingency Tables
693(7)
CASE STUDY 14.1 Lifestyles of the Married (and Not Famous)
700(6)
14.3 A Word of Caution About Chi-Square Tests
706(1)
Quick Review
707(8)
Chapter 15 Nonparametric Statistics
715(50)
15.1 Single Population Inferences: The Sign Test
717(5)
15.2 Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples
722(8)
15.3 Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment
730(5)
CASE STUDY 15.1 Deadly Exposure: Agent Orange and Vietnam Vets
735(4)
15.4 The Kruskal-Wallis H-Test for a Completely Randomized Design
739(5)
15.5 The Friedman Fr-Test for a Randomized Block Design
744(6)
15.6 Spearman's Rank Correlation Coefficient
750(8)
Quick Review
758(7)
Appendix A Tables 765(30)
Appendix B Data Sets 795(6)
Appendix C Calculation Formulas for Analysis of Variance 801(4)
Answers to Selected Exercises 805(10)
References 815(4)
Index 819


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