Course in Business Statistics with CD-ROM
4th Edition
Published on 28. April 2005
Book
Mixed media product
656 pages
978-0-13-167609-1 (ISBN)
Description
For a 1-semester course in business statistics.
This brief paperback text builds student confidence by incorporating a unique, step-by-step system of examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with exercises that step-up in level of difficulty, and solidify their understanding via one of-a-kind, review sections.
A more comprehensive version is also available: Business Statistics 6e, Updated.
This brief paperback text builds student confidence by incorporating a unique, step-by-step system of examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with exercises that step-up in level of difficulty, and solidify their understanding via one of-a-kind, review sections.
A more comprehensive version is also available: Business Statistics 6e, Updated.
More details
Edition
4th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Weight
1470 gr
ISBN-13
978-0-13-167609-1 (9780131676091)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Patrick W. Shannon | David F. Groebner | Phillip C. Fry
A Course in Business Statistics
Book
08/2001
3rd Edition
Pearson
€81.89
Article exhausted; check for reprint
Content
1. The Where, Why, and How of Data Collection
What is Business Statistics? Tools for Collecting Data. Populations,Samples, and Sampling Techniques. Data Types and Data
Measurement Levels.
2. Graphs, Charts and Tables - Describing Your Data
Frequency Distributions and Histograms. Bar Charts, Pie Charts and Stem and Leaf Diagrams. Line Charts and Scatter Diagrams.
3. Describing Data Using Numerical Measures
Measures of Center and Location. Measures of Variation. Using the Mean and Standard Deviation Together.
Chapter 1-3 Special Review Section
4. Using Probability and Probability Distributions
The Basics of Probability. The Rules of Probability. Introduction to Probability Distributions.
5. Discrete and Continuous Probability Distributions
The Binomial Probability Distribution. Other Discrete Distributions. The Normal Probability Distribution. Other Continuous Probability
Distributions.
6. Introduction to Sampling Distributions
Sampling error: What It Is and Why It Happens. Sampling Distribution of the Mean. Sampling Distribution of a Proportion.
7. Estimating Population Values
Point and Confidence Interval Estimates for a Population Mean. Determining the Required Sample Size for Estimating the Population
Mean. Estimating a Population Proportion.
8. Introduction to Hypothesis Testing
Hypothesis Tests for Means. Hypothesis Tests for Proportions. Type II Errors.
9. Estimation and Hypothesis Testing for Two Population Parameters
Estimation for Two Population Means. Hypothesis Tests for the Difference Between Two Population Means. Estimation and Hypothesis
Tests for Two Population Proportions. Chi-Square Test for Independence.
10. Hypothesis Tests For One and Two Population Variances
Test for a Single Population Variance. Test for Two Population Variances.
11. Analysis of Variance
One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance.
Chapter 7-11 Special Review Section
12. Introduction to Linear Regression and Correlation Analysis
Scatter Plots and Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis
13. The Basics of Multiple Regression Analysis
Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Working With Nonlinear Relationships.
Stepwise Regression. Determining the Aptness of the Model.
CD-ROM Chapters
14. Introduction to Decision Analysis
15. Analyzing Forecasting and Time-Series Data
16. Introduction to Nonparametric Statistics
17. Introduction to Quality and Statistical Process Control
Index for CD-ROM chapters
Answers to Selected Odd-Numbered Problems for CD-ROM chapters
What is Business Statistics? Tools for Collecting Data. Populations,Samples, and Sampling Techniques. Data Types and Data
Measurement Levels.
2. Graphs, Charts and Tables - Describing Your Data
Frequency Distributions and Histograms. Bar Charts, Pie Charts and Stem and Leaf Diagrams. Line Charts and Scatter Diagrams.
3. Describing Data Using Numerical Measures
Measures of Center and Location. Measures of Variation. Using the Mean and Standard Deviation Together.
Chapter 1-3 Special Review Section
4. Using Probability and Probability Distributions
The Basics of Probability. The Rules of Probability. Introduction to Probability Distributions.
5. Discrete and Continuous Probability Distributions
The Binomial Probability Distribution. Other Discrete Distributions. The Normal Probability Distribution. Other Continuous Probability
Distributions.
6. Introduction to Sampling Distributions
Sampling error: What It Is and Why It Happens. Sampling Distribution of the Mean. Sampling Distribution of a Proportion.
7. Estimating Population Values
Point and Confidence Interval Estimates for a Population Mean. Determining the Required Sample Size for Estimating the Population
Mean. Estimating a Population Proportion.
8. Introduction to Hypothesis Testing
Hypothesis Tests for Means. Hypothesis Tests for Proportions. Type II Errors.
9. Estimation and Hypothesis Testing for Two Population Parameters
Estimation for Two Population Means. Hypothesis Tests for the Difference Between Two Population Means. Estimation and Hypothesis
Tests for Two Population Proportions. Chi-Square Test for Independence.
10. Hypothesis Tests For One and Two Population Variances
Test for a Single Population Variance. Test for Two Population Variances.
11. Analysis of Variance
One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance.
Chapter 7-11 Special Review Section
12. Introduction to Linear Regression and Correlation Analysis
Scatter Plots and Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis
13. The Basics of Multiple Regression Analysis
Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Working With Nonlinear Relationships.
Stepwise Regression. Determining the Aptness of the Model.
CD-ROM Chapters
14. Introduction to Decision Analysis
15. Analyzing Forecasting and Time-Series Data
16. Introduction to Nonparametric Statistics
17. Introduction to Quality and Statistical Process Control
Index for CD-ROM chapters
Answers to Selected Odd-Numbered Problems for CD-ROM chapters