Rent 9780131497559 | Statistics | McClave, James T.; Sincich, Terry; Mendenhall, William @knetbooks.com

Summary Table of Contents

For algebra-based Introductory Statistics Courses in Statistics. The Tenth Edition of this best-selling introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. Incorporating more pedagogy then ever before, the text helps develop statistical thinking and teaches students to properly assess the credibility of inferences - from the vantage point of both the consumer and the producer. Statistics assumes a mathematical background of basic algebra.

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Preface

Applications Index

xviii

Statistics, Data, and Statistical Thinking

(26)

The Science of Statistics

... MORE

(1)

Types of Statistical Applications

(2)

Fundamental Elements of Statistics

(6)

Types of Data

(2)

Collecting Data

(3)

The Role of Statistics in Critical Thinking

(11)

USA Weekend Teen Surveys--Are Boys Really from Mars and Girls from Venus?

(21)

Using Technology: Creating and Listing Data Using MINITAB

(4)

Methods for Describing Sets of Data

(90)

Describing Qualitative Data

(11)

Graphical Methods for Describing Quantitative Data

(13)

Summation Notation

(1)

Numerical Measures of Central Tendency

(12)

Numerical Measures of Variability

(5)

Interpreting the Standard Deviation

(9)

Numerical Measures of Relative Standing

(4)

Methods for Detecting Outliers (Optional)

(10)

Graphing Bivariate Relationships (Optional)

(6)

Distorting the Truth with Descriptive Techniques

101

(17)

The ``Eye Cue'' Test: Does Experience Improve Performance?

(85)

Using Technology: Describing Data Using MINITAB

114

(4)

Probability

118

(70)

Events, Sample Spaces, and Probability

120

(13)

Unions and Intersections

133

(4)

Complementary Events

137

(2)

The Additive Rule and Mutually Exclusive Events

139

(6)

Conditional Probability

145

(3)

The Multiplicative Rule and Independent Events

148

(13)

Random Sampling

161

(4)

Some Additional Counting Rules (Optional)

165

(9)

Bayes's Rule (Optional)

174

(14)

Lotto Buster!

119

(67)

Using Technology: Generating a Random Sample Using MINITAB

186

(2)

Discrete Random Variables

188

(48)

Two Types of Random Variables

190

(3)

Probability Distributions for Discrete Random Variables

193

(5)

Expected Values of Discrete Random Variables

198

(6)

The Binomial Random Variable

204

(14)

The Poisson Random Variable (Optional)

218

(6)

The Hypergeometric Random Variable (Optional)

224

(12)

Probability in a Reverse Cocaine Sting

189

(45)

Using Technology: Binomial, Poisson, and Hypergeometric Probabilities Using MINITAB

234

(2)

Continuous Random Variables

236

(54)

Continuous Probability Distributions

238

(1)

The Uniform Distribution

238

(5)

The Normal Distribution

243

(18)

Descriptive Methods for Assessing Normality

261

(8)

Approximating a Binomial Distribution with a Normal Distribution (Optional)

269

(7)

The Exponential Distribution (Optional)

276

(14)

Super Weapons Development---Optimizing the Hit Ratio

237

(49)

Using Technology: Cumulative Probabilities for Continuous Random Variables and Normal Probability Plots Using MINITAB

286

(4)

Sampling Distributions

290

(30)

The Concept of a Sampling Distribution?

292

(6)

Properties of Sampling Distributions: Unbiasedness and Minimum Variance

298

(5)

The Sampling Distribution of x and the Central Limit Theorem

303

(17)

Statistics in Action: The Insomnia Pill

291

(26)

Using Technology: Simulating a Sampling Distribution Using MINITAB

317

(3)

Inferences Based on a Single Sample: Estimation with Confidence Intervals

320

(48)

Identifying the Target Parameter

321

(1)

Large-Sample Confidence Interval for a Population Mean

322

(10)

Small-Sample Confidence Interval for a Population Mean

332

(11)

Large-Sample Confidence Interval for a Population Proportion

343

(7)

Determining the Sample Size

350

(18)

Statistics in Action: Speed---Improving the Sprint Times of High School Football Players

321

(43)

Using Technology: Confidence Intervals Using MINITAB

364

(4)

Inferences Based on a Single Sample: Tests of Hypothesis

368

(60)

The Elements of a Test of Hypothesis

369

(7)

Large-Sample Test of Hypothesis About a Population Mean

376

(7)

Observed Significance Levels: p-Values

383

(7)

Small-Sample Test of Hypothesis About a Population Mean

390

(7)

Large-Sample Test of Hypothesis About a Population Proportion

397

(7)

Calculating Type II Error Probabilities: More About β (Optional)

404

(8)

Test of Hypothesis About a Population Variance (Optional)

412

(16)

Statistics in Action: Diary of a Kleenex® User

369

(55)

Using Technology: Tests of Hypothesis Using MINITAB

424

(4)

Inferences Based on a Two Samples: Confidence Intervals and Tests of Hypotheses

428

(84)

Identifying the Target Parameter

430

(1)

Comparing Two Population Means: Independent Sampling

430

(23)

Comparing Two Population Means: Paired Difference Experiments

453

(15)

Comparing Two Population Proportions: Independent Sampling

468

(11)

Determining the Sample Size

479

(4)

Comparing Two Population Variances: Independent Sampling (Optional)

483

(29)

Statistics in Action: Detection of Rigged Milk Prices

429

(79)

Using Technology: Two Sample Inferences Using MINITAB

508

(4)

Analysis of Variance: Comparing More Than Two Means

512

(78)

Elements of a Designed Experiment

514

(6)

The Completely Randomized Design

520

(17)

Multiple Comparisons of Means

537

(8)

The Randomized Block Design

545

(15)

Factorial Experiments

560

(30)

Statistics in Action: On the Trail of the Cockroach

513

(73)

Using Technology: Analysis of Variance Using MINITAB

586

(4)

Simple Linear Regression

590

(70)

Probabilistic Models

592

(3)

Fitting the Model: The Least Squares Approach

595

(16)

Model Assumptions

611

(2)

An Estimator of σ2

613

(3)

Assessing the Utility of the Model: Making Inferences About the Slope β1

616

(8)

The Coefficient of Correlation

624

(1)

The Coefficient of Determination

624

(11)

Using the Model for Estimation and Prediction

635

(9)

A Complete Example

644

(16)

Statistics in Action: Can Dowsers Really Detect Water?

591

(66)

Using Technology: Simple Linear Regression Using MINITAB

657

(3)

Multiple Regression and Model Building

660

(122)

Multiple Regression Models

662

(2)

The First-Order Model: Estimating and Interpreting the β-Parameters

664

(6)

Inferences About the β-Parameters and the Overall Model Utility

670

(14)

Using the Model for Estimation and Prediction

684

(6)

Model Building: Interaction Models

690

(8)

Model Building: Quadratic and other Higher-Order Models

698

(11)

Model Building: Qualitative (Dummy) Variable Models

709

(7)

Model Building: Models with both Quantitative and Qualitative Variables (Optional)

716

(9)

Model Building: Comparing Nested Models (Optional)

725

(10)

Model Building: Stepwise Regression (Optional)

735

(5)

Residual Analysis: Checking the Regression Assumptions

740

(18)

Some Pitfalls: Estimability, Multicollinearity, and Extrapolation

758

(24)

Statistics in Action: Moleling Condominium Sale Prices

661

(118)

Using Technology: Multiple Regression Using MINITAB

779

(3)

Categorical Data Analysis

782

(38)

Categorical Data and the Multinomial Experiment

783

(2)

Testing Categorical Probabilities: One-Way Table

785

(9)

Testing Categorical Probabilities: Two-Way (Contingency) Table

794

(17)

A Word of Caution About Chi-Square Tests

811

(9)

Statistics in Action: A Study of Coupon Users---Mall versus the Internet

783

(36)

Using Technology: Chi-Square Analyses Using MINITAB

819

(1)

Nonparametric Statistics

820

(98)

Introduction: Distribution-Free Tests

821

(2)

Single Population Inferences

823

(7)

Comparing Two Populations: Independent Samples

830

(8)

Comparing Two Populations: Paired Difference Experiment

838

(9)

Comparing Three or More Populations: Completely Randomized Design

847

(6)

Comparing Three or More Populations: Randomized Block Design

853

(6)

Rank Correlation

859

(22)

Deadly Exposure: Agent Orange and Vietnam Vets

821

(55)

Using Technology: Nonparametric Tests Using MINITAB

876

(5)

APPENDICES

Appendix A Tables

881

(33)

Table I Random Numbers

882

(3)

Table II Binomial Probabilities

885

(4)

Table III Poisson Probabilities

889

(5)

Table IV Normal Curve Areas

894

(1)

Table V Exponentials

895

(1)

Table VI Critical Values of t

896

(1)

Table VII Critical Values of X2

897

(2)

Table VIII Percentage Points of the F-Distribution, α = .10

899

(2)

Table IX Percentage Points of the F-Distribution, α = .05

901

(2)

Table X Percentage Points of the F-Distribution, α = .025

903

(2)

Table XI Percentage Points of the F-Distribution, α = .01

905

(2)

Table XII Critical Values of TL and TU for the Wilcoxon Rank Sum Test: Independent Samples

907

(1)

Table XIII Critical Values of T0 in the Wilcoxon Paired Difference Signed Rank Test

908

(1)

Table XIV Critical Values of Spearman's Rank Correlation Coefficient

909

(1)

Table XV Critical Values of the Studentized Range, α = .05

910

(2)

Table XVI Critical Values of the Studentized Range, α = .01

912

(2)

Appendix B Calculation Formulas for Analysis of Variance

914

(4)

Short Answers to Selected Odd-Numbered Exercises

918

(9)

Index

927

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