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Statistics for Business and Economics and Student CD

by: Newbold, Paul; Carlson, William; Thorne, Betty

Statistics for Business and Economics and Student CD

by: Newbold, Paul; Carlson, William; Thorne, Betty

ISBN 13:
9780132203845
ISBN 10:
0132203847
Edition: 6th
Format: Hardcover
Copyright: 01/01/2010
Publisher: Pearson College Div
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Summary

This classic text is known for its accuracy and statistical precision. This text enables students to conduct serious analysis of applied problems in contrast to merely running simple"canned" applications to help students become stronger analysts and future managers. It is also at a mathematically higher level than most business statistics texts.

Preface

xix

Why Study Statistics?

(8)

Decision Making in an Uncertain Environment

(1)

Sampling

(1)

Descriptive and Inferential Statistics

(5)

Describing Data

(1)

Making Inferences

(4)

Describing Data: Graphical

(37)

Classification of Variables

(3)

Categorical or Numerical

(1)

Measurement Levels

(2)

Graphs to Describe Categorical Variables

(7)

Tables

(1)

Bar Charts and Pie Charts

(2)

Pareto Diagrams

(4)

Graphs to Describe Time-Series Data

(3)

Graphs to Describe Numerical Variables

(8)

Frequency Distributions

(4)

Histograms and Ogives

(2)

Stem-and-Leaf Displays

(2)

Tables and Graphs to Describe Relationships Between Variables

(7)

Scatter Plots

(1)

Cross Tables

(5)

Data Presentation Errors

(8)

Misleading Histograms

(2)

Misleading Time-Series Plots

(6)

Describing Data: Numerical

(32)

Measures of Central Tendency

(5)

Mean, Median, Mode

(3)

Shape of the Distribution

(2)

Measures of Variability

(9)

Range and Interquartile Range

(1)

Variance and Standard Deviation

(2)

Chebychev's Theorem and the Empirical Rule

(2)

Coefficient of Variation

(3)

Weighted Mean and Measures of Grouped Data

(5)

Measures of Relationships Between Variables

(5)

Obtaining Linear Relationships

(8)

Probability

(56)

Random Experiment, Outcomes, Events

(8)

Probability and Its Postulates

(9)

Classical Probability

(2)

Relative Frequency

(1)

Subjective Probability

(5)

Probability Rules

(13)

Conditional Probability

(3)

Statistical Independence

102

(7)

Bivariate Probabilities

109

(11)

Odds

113

(1)

Overinvolvement Ratios

114

(6)

Bayes' Theorem

120

(14)

Discrete Random Variables and Probability Distributions

134

(53)

Random Variables

135

(2)

Probability Distributions for Discrete Random Variables

137

(3)

Properties of Discrete Random Variables

140

(10)

Expected Value of a Discrete Random Variable

140

(2)

Variance of a Discrete Random Variable

142

(3)

Mean and Variance of Linear Functions of a Random Variable

145

(5)

Binomial Distribution

150

(8)

Hypergeometric Distribution

158

(2)

The Poisson Probability Distribution

160

(6)

Poisson Approximation to the Binomial Distribution

163

(1)

Comparison of the Poisson and Binomial Probability Distributions

164

(2)

Jointly Distributed Discrete Random Variables

166

(21)

Computer Applications

170

(1)

Covariance

170

(1)

Correlation

171

(3)

Linear Functions of Random Variables

174

(2)

Portfolio Analysis

176

(11)

Continuous Random Variables and Probability Distributions

187

(45)

Continuous Random Variables

188

(6)

The Uniform Distribution

191

(3)

Expectations for Continuous Random Variables

194

(3)

The Normal Distribution

197

(13)

Normal Probability Plots

205

(5)

Normal Distribution Approximation for Binomial Distribution

210

(6)

Proportion Random Variable

214

(2)

The Exponential Distribution

216

(3)

Jointly Distributed Continuous Random Variables

219

(13)

Linear Combinations of Random Variables

222

(10)

Sampling and Sampling Distributions

232

(43)

Sampling from a Population

233

(5)

Sampling Distributions of Sample Means

238

(16)

Central Limit Theorem

243

(5)

Acceptance Intervals

248

(6)

Sampling Distributions of Sample Proportions

254

(6)

Sampling Distributions of Sample Variances

260

(15)

Estimation: Single Population

275

(28)

Properties of Point Estimators

276

(6)

Unbiased Estimator

277

(1)

Consistent Estimator

278

(1)

Efficient Estimator

279

(3)

Confidence Intervals for the Mean: Population Variance Known

282

(107)

Intervals Based on the Normal Distribution

284

(3)

Reducing Margin of Error

287

(102)

Confidence Intervals for the Mean: Population Variance Unknown

389

Student's t Distribution

389

Intervals Based on the Student's t Distribution

291

(4)

Confidence Intervals for Population Proportion (Large Samples)

295

(8)

Estimation: Additional Topics

303

(27)

Confidence Intervals for the Difference Between Two Normal Population Means

304

(5)

Dependent Samples

304

(2)

Independent Samples, Known Population Variances

306

(3)

Confidence Intervals for the Difference Between Two Normal Population Means with Population Variances Unknown

309

(6)

Independent Samples, Population Variances Assumed to be Equal

309

(3)

Independent Samples, Population Variances Not Assumed to be Equal

312

(3)

Confidence Intervals for the Difference Between Two Population Proportions (Large Samples)

315

(2)

Confidence Intervals for the Variance of a Normal Distribution

317

(4)

Sample Size Determination

321

(9)

Mean of a Normally Distributed Population, Known Population Variance

321

(2)

Population Proportion

323

(7)

Hypothesis Testing

330

(37)

Concepts of Hypothesis Testing

331

(6)

Tests of the Mean of a Normal Distribution: Population Variance Known

337

(11)

p-Value

339

(6)

Two-Sided Alternative Hypothesis

345

(3)

Tests of the Mean of a Normal Distribution: Population Variance Unknown

348

(4)

Tests of the Population Proportion (Large Samples)

352

(3)

Assessing the Power of a Test

355

(12)

Tests of the Mean of a Normal Distribution: Population Variance Known

356

(2)

Power of Population Proportion Tests (Large Samples)

358

(9)

Hypothesis Testing II

367

(35)

Tests of the Difference Between Two Population Means

369

(12)

Two Means, Matched Pairs

369

(3)

Two Means, Independent Samples, Known Population Variances

372

(3)

Two Means, Independent Samples, Unknown Population Variances Assumed to Be Equal

375

(3)

Two Means, Independent Samples, Unknown Population Variances Assumed to Be Not Equal

378

(3)

Tests of the Difference Between Two Population Proportions (Large Samples)

381

(4)

Tests of the Variance of a Normal Distribution

385

(4)

Tests of the Equality of the Variances Between Two Normally Distributed Populations

389

(4)

Some Comments on Hypothesis Testing

393

(9)

Simple Regression

402

(52)

Correlation Analysis

403

(4)

Hypothesis Test for Correlation

404

(3)

Linear Regression Model

407

(6)

Least Squares Coefficient Estimators

413

(5)

Computer Computation of Regression Coefficient

416

(2)

The Explanatory Power of a Linear Regression Equation

418

(8)

Coefficient of Determination R2

421

(5)

Statistical Inference: Hypothesis Tests and Confidence Intervals

426

(9)

Hypothesis Test for Population Slope Coefficient Using the F Distribution

433

(2)

Prediction

435

(6)

Graphical Analysis

441

(13)

Multiple Regression

454

(84)

The Multiple Regression Model

455

(8)

Model Specification

456

(2)

Model Development

458

(3)

Three-Dimensional Graphing

461

(2)

Estimation of Coefficients

463

(7)

Least Squares Procedure

464

(6)

Explanatory Power of a Multiple Regression Equation

470

(7)

Confidence Intervals and Hypothesis Tests for Individual Regression Coefficients

477

(13)

Confidence Intervals

479

(2)

Tests of Hypotheses

481

(9)

Tests on Regression Coefficients

490

(8)

Test on All Coefficients

491

(2)

Test on a Subset of Regression Coefficients

493

(1)

Comparison of F and t Tests

494

(4)

Prediction

498

(2)

Transformations for Nonlinear Regression Models

500

(9)

Quadratic Transformations

501

(3)

Logarithmic Transformations

504

(5)

Dummy Variables for Regression Models

509

(8)

Differences in Slope

513

(4)

Multiple Regression Analysis Application Procedure

517

(21)

Model Specification

518

(2)

Multiple Regression

520

(2)

Effect of Dropping a Statistically Significant Variable

522

(1)

Analysis of Residuals

523

(15)

Additional Topics in Regression Analysis

538

(48)

Model-Building Methodology

539

(3)

Model Specification

539

(1)

Coefficient Estimation

540

(1)

Model Verification

541

(1)

Model Interpretation and Inference

542

(1)

Dummy Variables and Experimental Design

542

(11)

Experimental Design Models

546

(7)

Lagged Values of the Dependent Variables as Regressors

553

(4)

Specification Bias

557

(4)

Multicollinearity

561

(3)

Heteroscedasticity

564

(5)

Autocorrelated Errors

569

(17)

Estimation of Regressions with Autocorrelated Errors

573

(4)

Autocorrelated Errors in Models with Lagged Dependent Variables

577

(9)

Nonparametric Statistics

586

(26)

Sign Test and Confidence Interval

587

(8)

Sign Test for Paired or Matched Samples

587

(3)

Normal Approximation

590

(2)

Sign Test for Single Population Median

592

(1)

Confidence Interval for the Median

593

(2)

Wilcoxon Signed Rank Test

595

(5)

Minitab (Wilcoxon Signed Rank Test)

596

(1)

Normal Approximation

597

(3)

Mann-Whitney U Test

600

(4)

Wilcoxon Rank Sum Test

604

(3)

Spearman Rank Correlation

607

(5)

Goodness-of-Fit Tests and Contingency Tables

612

(22)

Goodness-of-Fit Tests: Specified Probabilities

613

(4)

Goodness-of-Fit Tests: Population Parameters Unknown

617

(5)

A Test of Normality

619

(3)

Contingency Tables

622

(12)

Computer Applications

626

(8)

Analysis of Variance

634

(43)

Comparison of Several Population Means

635

(2)

One-Way Analysis of Variance

637

(10)

Population Model for One-Way Analysis of Variance

644

(3)

The Kruskal-Wallis Test

647

(3)

Two-Way Analysis of Variance: One Observation per Cell, Randomized Blocks

650

(11)

Two-Way Analysis of Variance: More Than One Observation per Cell

661

(16)

Introduction to Quality

677

(33)

The Importance of Quality

678

(4)

Quality Leaders

678

(2)

Variation

680

(2)

Control Charts for Means and Standard Deviations

682

(11)

An Estimate of the Process Standard Deviation

683

(3)

Control Charts for Means

686

(2)

Control Charts for Standard Deviations

688

(1)

Interpretation of Control Charts

689

(4)

Process Capability

693

(4)

Control Chart for Proportions

697

(4)

Control Charts for Number of Occurrences

701

(9)

Time-Series Analysis and Forecasting

710

(46)

Index Numbers

712

(9)

Price Index for a Single Item

713

(1)

Unweighted Aggregate Price Index

714

(1)

Weighted Aggregate Price Index

715

(2)

Weighted Aggregate Quantity Index

717

(1)

Change in Base Period

718

(3)

A Nonparametric Test for Randomness

721

(3)

Components of a Time Series

724

(3)

Moving Averages

727

(9)

Extraction of the Seasonal Component through Moving Averages

729

(7)

Exponential Smoothing

736

(11)

The Holt-Winters Exponential Smoothing Forecasting Model

738

(5)

Forecasting Seasonal Time Series

743

(4)

Autoregressive Models

747

(5)

Autoregressive Integrated Moving Average Models

752

(4)

Additional Topics in Sampling

756

(42)

Basic Steps of a Sampling Study

758

(4)

What Information Is Required?

758

(1)

What Is the Relevant Population, and Is a Listing of It Available?

758

(1)

How Should the Sample Members Be Selected?

759

(1)

How Should Information Be Obtained from the Sample Members?

759

(2)

How Should Sample Information Be Used to Make Inferences About the Population?

761

(1)

What Conclusions Can Be Drawn About the Population?

761

(1)

Sampling and Nonsampling Errors

762

(1)

Simple Random Sampling

763

(6)

Analysis of Results from Simple Random Sampling

764

(5)

Stratified Sampling

769

(12)

Analysis of Results from Stratified Random Sampling

771

(6)

Allocation of Sample Effort Among Strata

777

(4)

Determining Sample Size

781

(6)

Sample Sizes for Simple Random Sampling: Estimation of Population Mean or Total

782

(1)

Sample Sizes for Simple Random Sampling: Estimation of Population Proportion

783

(1)

Sample Sizes for Stratified Random Sampling with Specified Degree of Precision

784

(3)

Other Sampling Methods

787

(11)

Cluster Sampling

787

(4)

Two-Phase Sampling

791

(2)

Nonprobabilistic Sampling Methods

793

(5)

Statistical Decision Theory

798

(83)

Decision Making Under Uncertainty

799

(3)

Solutions Not Involving Specification of Probabilities Maximin Criterion

802

(5)

Minimax Regret Criterion

802

(1)

Maximin Criterion

803

(2)

Minimax Regret Criterion

805

(2)

Expected Monetary Value; TreePlan

807

(11)

Decision Trees

809

(2)

Using TreePlan to Solve a Decision Tree

811

(3)

Sensitivity Analysis

814

(4)

Sample Information: Bayesian Analysis and Value

818

(13)

Use of Bayes' Theorem

818

(5)

The Value of Sample Information

823

(3)

The Value of Sample Information Viewed by Means of Decision Trees

826

(5)

Allowing for Risk: Utility Analysis

831

(10)

The Concept of Utility

832

(4)

Expected Utility Criterion for Decision Making

836

(5)

APPENDIX TABLES

Cumulative Distribution Function of the Standard Normal Distribution

841

(2)

Probability Function of the Binomial Distribution

843

(5)

Cumulative Binomial Probabilities

848

(4)

Values of e-λ

852

(1)

Individual Poisson Probabilities

853

(8)

Cumulative Poisson Probabilities

861

(8)

Cutoff Points of the Chi-Square Distribution Function

869

(1)

Cutoff Points for the Student's t Distribution

870

(1)

Cutoff Points for the F Distribution

871

(3)

Cutoff Points for the Distribution of the Wilcoxon Test Statistic

874

(1)

Cutoff Points for the Distribution of Spearman Rank Correlation Coefficient

875

(1)

Cutoff Points for the Distribution of the Durbin-Watson Test Statistic

876

(2)

Factors for Control Charts

878

(1)

Cumulative Distribution Function of the Runs Test Statistic

879

(2)

Answers to Selected Even-Numbered Exercises

881

Index

Amazon no longer offers textbook rentals. We do!

Statistics for Business and Economics and Student CD

Statistics for Business and Economics and Student CD

9780132203845

0132203847

Summary

Table of Contents

Supplemental Materials

Write a Review

Amazon no longer offers textbook rentals. We do!

Statistics for Business and Economics and Student CD

Statistics for Business and Economics and Student CD

9780132203845

0132203847

Summary

Table of Contents

Supplemental Materials

Write a Review

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