Business Statistics
A Decision-Making Approach with Student CD: International Edition
6th Edition
Published on 29. January 2004
Book
Mixed media product
896 pages
978-0-13-127048-0 (ISBN)
Description
For the 1 or 2 semester course in Business Statistics.
This comprehensive, 17 chapter hardcover text builds student confidence by incorporating a step-by-step system for examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with extensive exercises that step-up in level of difficulty, and solidify their understanding of the concepts with special review sections as they prepare for their exams.
It presents descriptive and inferential statistics with a rich assortment of business examples and real data with an emphasis on decision-making. There is emphasis on using statistical software as a tool, (featuring Excel and Minitab) with many examples presented in a software environment.
A briefer version is also available called A Course in Business Statistics 4e.
This comprehensive, 17 chapter hardcover text builds student confidence by incorporating a step-by-step system for examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with extensive exercises that step-up in level of difficulty, and solidify their understanding of the concepts with special review sections as they prepare for their exams.
It presents descriptive and inferential statistics with a rich assortment of business examples and real data with an emphasis on decision-making. There is emphasis on using statistical software as a tool, (featuring Excel and Minitab) with many examples presented in a software environment.
A briefer version is also available called A Course in Business Statistics 4e.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 273 mm
Width: 218 mm
Thickness: 33 mm
Weight
1720 gr
ISBN-13
978-0-13-127048-0 (9780131270480)
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
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 Probability 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 the Population Proportion.
8. Introduction Hypothesis Testing.
Hypothesis Tests for Means. Hypotheses Tests for Proportions. Type II Errors.
9. Hypothesis Testing and Estimation 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.
10. Hypothesis Tests for One and Two Population Variances.
Hypothesis Tests for a Single Population Variance. Hypothesis Tests for Two Population Variances.
11. Analysis of Variance.
One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance. Two-Factor Analysis of Variance with Replication.
Chapter 7-11 Special Review Section.
12. Goodness-of-Fit Tests and Contingency Analysis.
Introduction to Goodness-of-Fit Tests. Introduction to Contingency Analysis.
13. Introduction to Linear Regression and Correlation Analysis.
Scatter Plots and Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis.
14. Multiple Regression and Model Building.
Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Working with Nonlinear Relationships. Stepwise Regression. Determining the Aptness of the Model.
15. Analyzing and Forecasting Time-Series Data.
Introduction to Forecasting, Time-Series Data, and Index Numbers. Trend-Based Forecasting Techniques. Forecasting Using Smoothing Methods.
16. Introduction to Nonparametric Statistics.
The Wilcoxon Signed Rank Test for One Population Center. Nonparametric Tests for Two Population Centers. Kruskal-Wallis One-Way Analysis of Variance.
17. Introduction to Quality and Statistical Process Control.
Quality Management and Tools for Process Improvement. Introduction to Statistical Process Control Charts.
18. Introduction to Decision Analysis (CD Chapter).
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 Probability 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 the Population Proportion.
8. Introduction Hypothesis Testing.
Hypothesis Tests for Means. Hypotheses Tests for Proportions. Type II Errors.
9. Hypothesis Testing and Estimation 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.
10. Hypothesis Tests for One and Two Population Variances.
Hypothesis Tests for a Single Population Variance. Hypothesis Tests for Two Population Variances.
11. Analysis of Variance.
One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance. Two-Factor Analysis of Variance with Replication.
Chapter 7-11 Special Review Section.
12. Goodness-of-Fit Tests and Contingency Analysis.
Introduction to Goodness-of-Fit Tests. Introduction to Contingency Analysis.
13. Introduction to Linear Regression and Correlation Analysis.
Scatter Plots and Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis.
14. Multiple Regression and Model Building.
Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Working with Nonlinear Relationships. Stepwise Regression. Determining the Aptness of the Model.
15. Analyzing and Forecasting Time-Series Data.
Introduction to Forecasting, Time-Series Data, and Index Numbers. Trend-Based Forecasting Techniques. Forecasting Using Smoothing Methods.
16. Introduction to Nonparametric Statistics.
The Wilcoxon Signed Rank Test for One Population Center. Nonparametric Tests for Two Population Centers. Kruskal-Wallis One-Way Analysis of Variance.
17. Introduction to Quality and Statistical Process Control.
Quality Management and Tools for Process Improvement. Introduction to Statistical Process Control Charts.
18. Introduction to Decision Analysis (CD Chapter).