한빛출판네트워크

도서 특징

• Decision Dilemmas: Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section. 

• Thinking Critically About Statistics in Business Today Exercises: Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today. 

• EXPANDED Databases: Twenty databases representing several industries including banking, consumer spending, energy, environmental, finance, manufacturing, healthcare, market research, retailing, stocks and more provide additional opportunities for students to apply the statistics presented in each chapter. 

• NEW Big Data Case:  Using data from the American Hospital Association, each chapter contains an activity asking students to perform several tasks using variables, samples, and data.  

• NEW Visualizing Time-Series Data Section:  helps students use historical data with measures taken over time to predict what might happen in the future.  

• Ethical Considerations: This feature in each course section integrates the topic of ethics with applications of business statistics. 

• Tree Taxonomy Diagrams: These diagrams illustrate the connection between topics and techniques and the ability to see the big picture of inferential statistics. 

• Section Reorganization Options: This course was designed to allow for both one- and two-semester coverage. 

• 900+ Practice Problems: A treasury of practice problems are available in this course.

1 Introduction to Statistics and Business Analytics 

2 Visualizing Data with Charts and Graphs 

3 Descriptive Statistics 

4 Probability 

5 Discrete Distributions 

6 Continuous Distributions 

7 Sampling and Sampling Distributions 

8 Statistical Inference: Estimation for Single Populations 

9 Statistical Inference: Hypothesis Testing for Single Populations 

10 Statistical Inferences About Two Populations 

11 Analysis of Variance and Design of Experiments 

12 Simple Regression Analysis and Correlation 

13 Multiple Regression Analysis 

14 Building Multiple Regression Models 

15 Time-Series Forecasting and Index Numbers 

16 Analysis of Categorical Data 

17 Nonparametric Statistics 

18 Statistical Quality Control 

19 Decision Analysis