First Course In Business Statistics / Edition 8

First Course In Business Statistics / Edition 8

by James T. McClave, Terry Sincich, P. George Benson
     
 

View All Available Formats & Editions

ISBN-10: 0130186791

ISBN-13: 9780130186799

Pub. Date: 11/08/2000

Publisher: Prentice Hall

Designed for readers with a background in basic algebra, this best-selling introduction to statistics for business and economics emphasizes inference—with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical

Overview

Designed for readers with a background in basic algebra, this best-selling introduction to statistics for business and economics emphasizes inference—with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data—both by those who consume and those who produce them—and features numerous case studies, examples, and exercises—all drawing on real business situations and recent economic events. Statistics, Data, and Statistical Thinking. Methods for Describing Sets of Data. Probability. Random Variables and Probability Distributions. Inferences Based on a Single Sample: Estimation with Confidence Intervals. Inferences Based on a Single Sample: Tests of Hypothesis. Comparing Population Means. Comparing Population Proportions. Simple Linear Regression. Introduction to Multiple Regression. Basic Methods for Quality Improvement. For anyone interested in statistics for business and economics.

Product Details

ISBN-13:
9780130186799
Publisher:
Prentice Hall
Publication date:
11/08/2000
Edition description:
8TH BK&CDR
Pages:
784
Product dimensions:
8.29(w) x 10.18(h) x 1.37(d)

Related Subjects

Table of Contents

Preface xi
Statistics, Data, and Statistical Thinking
1(24)
The Science of Statistics
2(1)
Types of Statistical Applications in Business
2(2)
Fundamental Elements of Statistics
4(5)
Processes (Optional)
9(4)
Types of Data
13(1)
Collecting Data
14(3)
The Role of Statistics in Managerial Decision-Making
17(8)
A 20/20 View of Survey Results: Fact or Fiction?
18(2)
Quick Review
20(5)
Methods for Describing Sets of Data
25(92)
Describing Qualitative Data
26(10)
Graphical Methods for Describing Quantitative Data
36(14)
Summation Notation
50(2)
Numerical Measures of Central Tendency
52(11)
Numerical Measures of Variability
63(7)
Interpreting the Standard Deviation
70(8)
Numerical Measures of Relative Standing
78(6)
Methods for Detecting Outliers (Optional)
84(10)
Graphing Bivariate Relationships (Optional)
94(3)
The Time Series Plot (Optional)
97(3)
Distorting the Truth with Descriptive Techniques
100(17)
Car & Driver's "Road Test Digest"
104(1)
Quick Review
105(9)
The Kentucky Milk Case---Part I (A Case Covering Chapters 1-2)
114(3)
Probability
117(50)
Events, Sample Spaces, and Probability
118(12)
Unions and Intersections
130(4)
Complementary Events
134(1)
The Additive Rule and Mutually Exclusive Events
135(5)
Conditional Probability
140(4)
The Multiplicative Rule and Independent Events
144(10)
Random Sampling
154(13)
Lottery Buster
158(1)
Quick Review
158(9)
Random Variables and Probability Distributions
167(92)
Two Types of Random Variables
168(3)
Probability Distributions for Discrete Random Variables
171(10)
The Binomial Distribution
181(13)
The Poisson Distribution (Optional)
194(7)
Probability Distributions for Continuous Random Variables
201(1)
The Uniform Distribution (Optional)
202(4)
The Normal Distribution
206(13)
Descriptive Methods for Assessing Normality
219(6)
Approximating a Binomial Distribution with a Normal Distribution (Optional)
225(6)
The Exponential Distribution (Optional)
231(5)
Sampling Distributions
236(6)
The Central Limit Theorem
242(17)
IQ, Economic Mobility, and the Bell Curve
251(1)
Quick Review
252(5)
The Furniture Fire Case (A Case Covering Chapters 3-4)
257(2)
Inferences Based on a Single Sample: Estimation with Confidence Intervals
259(40)
Large-Sample Confidence Interval for a Population Mean
260(8)
Small-Sample Confidence Interval for a Population Mean
268(11)
Large-Sample Confidence Interval for a Population Proportion
279(7)
Determining the Sample Size
286(13)
Scallops, Sampling, and the Law
292(1)
Quick Review
293(6)
Inferences Based on a Single Sample: Tests of Hypothesis
299(46)
The Elements of a Test of Hypothesis
300(6)
Large-Sample Test of Hypothesis About a Population Mean
306(7)
Observed Significance Levels: p-Values
313(6)
Small-Sample Test of Hypothesis About a Population Mean
319(7)
Large-Sample Test of Hypothesis About a Population Proportion
326(6)
A Nonparametric Test About a Population Median (Optional)
332(13)
March Madness---Handicapping the NCAA Basketball Tourney
338(1)
Quick Review
338(7)
Comparing Population Means
345(82)
Comparing Two Population Means: Independent Sampling
346(16)
Comparing Two Population Means: Paired Difference Experiments
362(12)
Determining the Sample Size
374(3)
Testing the Assumption of Equal Population Variances (Optional)
377(7)
A Nonparametric Test for Comparing Two Populations: Independent Sampling (Optional)
384(9)
A Nonparametric Test for Comparing Two Populations: Paired Difference Experiment (Optional)
393(7)
Comparing Three or More Population Means: Analysis of Variance (Optional)
400(27)
On the Trail of the Cockroach
416(2)
Quick Review
418(8)
The Kentucky Milk Case---Part II (A Case Covering Chapters 5-7)
426(1)
Comparing Population Proportions
427(44)
Comparing Two Population Proportions: Independent Sampling
428(7)
Determining the Sample Size
435(2)
Comparing Population Proportions: Multinomial Experiment
437(8)
Contingency Table Analysis
445(26)
Ethics in Computer Technology and Use
458(3)
Quick Review
461(7)
Discrimination in the Workplace (A Case Covering Chapter 8)
468(3)
Simple Linear Regression
471(86)
Probabilistic Models
472(4)
Fitting the Model: The Least Squares Approach
476(13)
Model Assumptions
489(1)
An Estimator of σ2
490(4)
Assessing the Utility of the Model: Making Inferences About the Slope β1
494(11)
The Coefficient of Correlation
505(4)
The Coefficient of Determination
509(7)
Using the Model for Estimation and Prediction
516(13)
Simple Linear Regression: A Complete Example
529(3)
A Nonparametric Test for Correlation (Optional)
532(25)
Can "Dowsers" Really Detect Water?
540(4)
Quick Review
544(13)
Introduction to Multiple Regression
557(80)
Multiple Regression Models
558(1)
The First-Order Model: Estimating and Interpreting the β Parameters
559(6)
Model Assumptions
565(3)
Inferences About the β Parameters
568(12)
Checking the Overall Utility of a Model
580(13)
Using the Model for Estimation and Prediction
593(5)
Residual Analysis: Checking the Regression Assumptions
598(16)
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation
614(23)
"Wringing" The Bell Curve
624(2)
Quick Review
626(8)
The Condo Sales Case (A Case Covering Chapters 9-10)
634(3)
Methods for Quality Improvement
637(104)
Quality, Processes, and Systems
638(4)
Statistical Control
642(9)
The Logic of Control Charts
651(4)
A Control Chart for Monitoring the Mean of a Process: The x-Chart
655(17)
A Control Chart for Monitoring the Variation of a Process: The R-Chart
672(11)
A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart
683(20)
Deming's 14 Points
692(2)
Quick Review
694(5)
The Gasket Manufacturing Case (A Case Covering Chapter 11)
699(4)
APPENDICES
Appendix A Basic Counting Rules
703(4)
Appendix B Tables
707(32)
Appendix C Calculation Formulas for Analysis of Variance: Independent Sampling
739(2)
Answers to Selected Exercises 741(6)
References 747(4)
Index 751

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >