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First Course in Business Statistics / With CD-ROM

First Course in Business Statistics / With CD-ROM - 8th edition

ISBN13: 978-0130186799

Cover of First Course in Business Statistics / With CD-ROM 8TH 01 (ISBN 978-0130186799)
ISBN13: 978-0130186799
ISBN10: 0130186791
Cover type:
Edition/Copyright: 8TH 01
Publisher: Prentice Hall, Inc.
Published: 2001
International: No

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First Course in Business Statistics / With CD-ROM - 8TH 01 edition

ISBN13: 978-0130186799

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

ISBN13: 978-0130186799
ISBN10: 0130186791
Cover type:
Edition/Copyright: 8TH 01
Publisher: Prentice Hall, Inc.

Published: 2001
International: No
Summary

For a one/two-term Business Statistics course.

Designed for students with a background in basic algebra, this best-selling introduction to statistics for business and economics text emphasizes inference--with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and to make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and the value of inferences made from data--both by those who consume and those who produce them--and features numerous case studies, examples, and exercises--that draw on real business situations and recent economic events.

Author Bio

McClave, James T. : University of Florida

Benson, P. George : University of Georgia

Sincich, Terry : University of South Florida

Table of Contents

(NOTE: Each chapter concludes with ''Quick Review'')


1. Statistics, Data, and Statistical Thinking

The Science of Statistics
Types of Statistical Applications in Business
Fundamental Elements of Statistics
Processes (Optional)
Types of Data
Collecting Data
The Role of Statistics in Managerial Decision-Making


2. Methods for Describing Sets of Data

Describing Qualitative Data
Graphical Methods for Describing Quantitative Data
Summation Notation
Numerical Measures of Central Tendency
Numerical Measures of Variability
Interpreting the Standard Deviation
Numerical Measures of Relative Standing
Methods for Detecting Outliers (Optional)
Graphing Bivariate Relationships (Optional)
The Time Series Plot (Optional)
Distorting the Truth with Descriptive Techniques


3. Probability Events, Sample Spaces, and Probability

Unions and Intersections
Complementary Events
Additive Rule and Mutually Exclusive Events
Conditional Probability
The Multiplicative Rule and Independent Events
Random Sampling


4. Random Variables and Probability Distributions

Two Types of Random Variables
Probability Distributions for Discrete Random Variables
The Binomial Distribution
The Poisson Distribution (Optional)
Probability Distributions for Continuous Random Variables
The Uniform Distribution (Optional)
The Normal Distribution
Descriptive Methods for Assessing Normality
Approximating a Binomial Distribution with a Normal Distribution (Optional)
The Exponential Distribution (Optional)
Sampling Distributions
The Central Limit Theorem


5. Inferences Based on a Single Sample: Estimation with Confidence Intervals

Large-Sample Confidence Interval for a Population Mean
Small-Sample Confidence Interval for a Population Mean
Large-Sample Confidence Interval for a Population Proportion
Determining the Sample Size


6. Inferences Based on a Single Sample: Tests of Hypothesis

The Elements of a Test of Hypothesis
Large-Sample Test of Hypothesis about a Population Mean
Observed Significance Levels: p-Values
Small-Sample Test of Hypothesis about a Population Mean
Large-Sample Test of Hypothesis about a Population Proportion
A Nonparametric Test about a Population Median (Optional)


7. Comparing Population Means

Comparing Two Population Means: Independent Sampling
Comparing Two Population Means: Paired Difference Experiments
Determining the Sample Size
Testing the Assumption of Equal Population Variances (Optional)
A Nonparametric Test for Comparing Two Populations: Independent Sampling (Optional)
A Nonparametric Test for Comparing Two Populations: Paired Differences Experiment (Optional)
Comparing Three or More Population Means: Analysis of Variance (Optional)


8. Comparing Population Proportions

Comparing Two Population Proportions: Independent Sampling
Determining the Sample Size
Comparing Population Proportions: Multinomial Experiment
Contingency Table Analysis


9. Simple Linear Regression

Probabilistic Models
Fitting the Model: The Least Squares Approach
Model Assumptions
An Estimator of ...s2
Assessing the Utility of the Model: Making Inferences about the Slope ...b1
The Coefficient of Correlation
The Coefficient of Determination
Using the Model for Estimation and Prediction
Simple Linear Regression: A Complete Example
A Nonparametric Test for Correlation (Optional)

10. Introduction to Multiple Regression

Multiple Regression Models
The First-Order Model: Estimating and Interpreting the ...b Parameters
Model Assumptions
Inferences about the ...b Parameters
Checking the Overall Utility of a Model
Using the Model for Estimation and Prediction
Residual Analysis: Checking the Regression Assumptions
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation


11. Methods for Quality Improvement

Quality, Processes, and Systems
Statistical Control
The Logic of Control Charts
A Control Chart for Monitoring the Mean of a Process: The x-Chart
A Control Chart for Monitoring the Variation of a Process: The R-Chart
A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart


Appendix A: Basic Counting Rules
Appendix B: Tables
Appendix C: Calculation Formulas for Analysis of Variance: Independent Sampling
Answers to Selected Exercises
References Index

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