Basic Business Statistics: Concepts and Applications / Edition 10

Basic Business Statistics: Concepts and Applications / Edition 10

by Mark L. Berenson, David M. Levine, Timothy C. Krehbiel
     
 

ISBN-10: 0131678310

ISBN-13: 9780131678316

Pub. Date: 03/02/2005

Publisher: Prentice Hall

Berenson shows students how statistics is use in each functional area of business.

This edition features statistics in real-business scenarios, web cases, data analysis and interpretation of software results, case studies and team projects, as well as visual explorations of statistical concepts.

This book is intended for undergraduate and graduate students

Overview

Berenson shows students how statistics is use in each functional area of business.

This edition features statistics in real-business scenarios, web cases, data analysis and interpretation of software results, case studies and team projects, as well as visual explorations of statistical concepts.

This book is intended for undergraduate and graduate students taking courses in statistics.

Product Details

ISBN-13:
9780131678316
Publisher:
Prentice Hall
Publication date:
03/02/2005
Edition description:
Book and CD-ROM
Pages:
936
Product dimensions:
8.60(w) x 11.14(h) x 1.23(d)

Related Subjects

Table of Contents

Prefacexv
1Introduction and Data Collection1
1.1Why a Manager Needs to Know about Statistics2
1.2The Growth and Development of Modern Statistics4
1.3What Readers of This Textbook Need to Know about Microsoft Excel and PHStat or Minitab5
1.4Why Data are Needed6
1.5Sources of Data7
1.6Types of Data10
1.7Design of Survey Research15
1.8Types of Sampling Methods17
1.9Evaluating Survey Worthiness23
2Presenting Data in Tables and Charts45
2.1Organizing Numerical Data46
2.2Tables and Charts for Numerical Data50
2.3Graphing Bivariate Numerical Data58
2.4Tables and Charts for Categorical Data61
2.5Tabulating and Graphing Bivariate Categorical Data68
2.6Graphical Excellence71
3Numerical Descriptive Measures95
3.1Exploring Numerical Data and Their Properties96
3.2Measures of Central Tendency, Variation, and Shape97
3.3Exploratory Data Analysis116
3.4Obtaining Descriptive Summary Measures from a Population121
3.5The Coefficient of Correlation126
3.6Pitfalls in Numerical Descriptive Measures and Ethical Issues130
3.7Obtaining Descriptive Summary Measures from a Frequency Distribution (CD-ROM Topic)131
4Basic Probability145
4.1Basic Probability Concepts147
4.2Conditional Probability156
4.3Bayes' Theorem164
4.4Ethical Issues and Probability167
5Some Important Discrete Probability Distributions173
5.1The Probability Distribution for a Discrete Random Variable174
5.2Covariance and Its Application in Finance177
5.3Binomial Distribution182
5.4Poisson Distribution190
5.5Hypergeometric Distribution193
6The Normal Distribution and Other Continuous Distributions205
6.1The Normal Distribution206
6.2Evaluating the Normality Assumption223
6.3The Exponential Distribution231
7Sampling Distributions241
7.1Sampling Distribution of the Mean242
7.2Sampling Distribution of the Proportion254
7.3Sampling from Finite Populations (CD-ROM Topic)257
8Confidence Interval Estimation263
8.1Confidence Interval Estimation of the Mean ([sigma] Known)265
8.2Confidence Interval Estimation of the Mean ([sigma] Unknown)269
8.3Confidence Interval Estimation for the Proportion276
8.4Determining Sample Size279
8.5Applications of Confidence Interval Estimation in Auditing286
8.6Confidence Interval Estimation and Ethical Issues294
8.7Estimation and Sample Size Determination for Finite Populations (CD-ROM Topic)294
9Fundamentals of Hypothesis Testing: One-Sample Tests307
9.1Hypothesis-Testing Methology308
9.2Z Test of Hypothesis for the Mean ([sigma] Known)313
9.3One-Tail Tests320
9.4tTest of Hypothesis for the Mean ([sigma] Unknown)323
9.5Z Test of Hypothesis for the Proportion329
9.6X[superscript 2] Test of Hypothesis for the Variance or Standard Deviation332
9.7The Power of a Test (CD-ROM Topic)336
9.8Potential Hypothesis-Testing Pitfalls and Ethical Issues336
10Two-Sample Tests with Numerical Data347
10.1Comparing Two Independent Samples: t Tests for Differences in Two Means348
10.2F Test for Difference in Two Variances357
10.3Comparing Two Related Samples: t Test for the Mean Difference364
10.4Wilcoxon Rank Sum Test for Differences in Two Medians372
10.5Wilcoxon Signed-Ranks Test for the Median Difference (CD-ROM Topic)378
11Analysis of Variance391
11.1The Completely Randomized Design: One-Way Analysis of Variance392
11.2The Randomized Block Design407
11.3The Factorial Design: Two-Way Analysis of Variance417
11.4Kruskal-Wallis Rank Test for Differences in c Medians429
11.5Friedman Rank Test for Differences in c Medians (CD-ROM Topic)434
12Tests for Two or More Samples with Categorical Data449
12.1Z Test for the Difference Between Two Proportions450
12.2x[superscript 2] Test for the Difference Between Two Proportions456
12.3x[superscript 2] Test for Differences in More Than Two Proportions463
12.4x[superscript 2] Test of Independence471
13Simple Linear Regression487
13.1Types of Regression Models488
13.2Determining the Simple Linear Regression Equation490
13.3Measures of Variation498
13.4Assumptions503
13.5Residual Analysis504
13.6Measuring Autocorrelation: The Durbin-Watson Statistic509
13.7Inferences about the Slope and Correlation Coefficient514
13.8Estimation of Mean Values and Prediction of Individual Values521
13.9Pitfalls in Regression and Ethical Issues525
13.10Computations in Simple Linear Regression529
14Introduction to Multiple Regression549
14.1Developing the Multiple Regression Model550
14.2Residual Analysis for the Multiple Regression Model559
14.3Influence Analysis561
14.4Testing for the Significance of the Multiple Regression Model564
14.5Inferences Concerning the Population Regression Coefficients566
14.6Testing Portions of the Multiple Regression Model570
14.7Logistic Regression577
15Multiple Regression Model Building589
15.1The Quadratic Regression Model590
15.2Dummy-Variable Models599
15.3Using Transformations in Regression Models608
15.4Collinearity611
15.5Model Building613
15.6Pitfalls in Multiple Regression and Ethical Issues624
16Time-Series Analysis635
16.1The Importance of Business Forecasting636
16.2Component Factors of the Classical Multiplicative Time-Series Model637
16.3Smoothing the Annual Time Series639
16.4Least-Squares Trend Fitting and Forecasting646
16.5The Holt-Winters Method for Trend Fitting and Forecasting659
16.6Autoregressive Modeling for Trend Fitting and Forecasting663
16.7Choosing an Appropriate Forecasting Model672
16.8Time-Series Forecasting of Monthly or Quarterly Data677
16.9Pitfalls Concerning Time-Series Analysis685
16.10Index Numbers (CD-ROM Topic)685
17Decision Making695
17.1The Payoff Table and Decision Trees696
17.2Criteria for Decision Making700
17.3Decision Making with Sample Information708
17.4Utility713
18Statistical Applications in Quality and Productivity Management721
18.1Quality and Productivity: A Historical Perspective723
18.2Deming's 14 Points: A Theory of Management723
18.3The Theory of Control Charts726
18.4Control Chart for the Proportion of Nonconforming Items--The p Chart728
18.5The Red Bead Experiment: Understanding Process Variability734
18.6Control Chart for An Area of Opportunity--The c Chart737
18.7Control Charts for the Range and the Mean (X)741
18.8Process Capability748
Appendices781
A.Review of Arithmetic, Alegbra, and Logarithms781
B.Summation Notation785
C.Statistical Symbols and Greek Alphabet791
D.CD-ROM Contents793
E.Tables807
F.More About PHStat2839
Index843
CD-ROM Topics
3.7Obtaining Descriptive Summary Measures1
7.3Sampling from Finite Populations1
8.7Estimation and Sample Size Determination for Finite Populations1
9.7The Power of a Test1
10.5Wilcoxon Signed-Ranks Test for the Median Difference1
11.5Freidman Rank Test for Differences in C Medians1
16.10Index Numbers1

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