DescriptionEvery business area relies on an understanding of statistics to succeed. Statistics for Business and Economics by Carlos Cortinhas and Ken Black shows students that the proper application of statistics in the business world goes hand-in-hand with good decision making. Every statistical tool presented in this book has a business application set in a global context and the many learning features and easy to use structure will engage and reassure each business statistic student.
1 Introduction to Statistics 3
2 Charts and Graphs 19
3 Descriptive Statistics 51
4 Probability 102
UNIT II DISTRIBUTIONS AND SAMPLING
5 Discrete Distributions 149
6 Continuous Distributions 194
7 Sampling and Sampling Distributions 234
UNIT III MAKING INFERENCES ABOUT POPULATION PARAMETERS
8 Statistical Inference: Estimation for Single Populations 271
9 Statistical Inference: Hypothesis Testing for Single Populations 310
10 Statistical Inferences About Two Populations 363
11 Analysis of Variance and Design of Experiments 422
UNIT IV REGRESSION ANALYSIS AND FORECASTING
12 Simple Regression Analysis and Correlation 487
13 Multiple Regression Analysis 545
14 Building Multiple Regression Models 578
15 Time-Series Forecasting and Index Numbers 625
UNIT V CATEGORICAL DATA AND NON-PARAMETRIC STATISTICS
16 Analysis of Categorical Data 685
17 Non-parametric Statistics 713
A Tables 765
B Answers to Selected Odd-Numbered Quantitative Problems 807
18 Statistical Quality Control
19 Decision Analysis
Featuring a strong focus on European cases, data and scenarios throughout, Statistics for Business and Economics provides:
- Decision Dilemma – each chapter opens with a short case describing a real company or business situation, that raises questions to be answered using techniques presented in the chapter. Answers and explanations are given at the end of the chapter bringing closure. Each chapter uses different cases.
- Ethical Considerations box – underscores the potential misuse of statistics by discussing such topics as lying with statistics, failing to meet statistical assumptions, failing to include pertinent information, and other matters of principle.
- Most cases, data and scenarios are based on real information students will recognise and relate to such as Caffè Nero, Nando’s, Raleigh, online shopping, European Banks and more.
- Available in WileyPLUS, Moodle, BlackBoard or simply from our website, resources include:
- Over 2,500 questions
- Fully adapted Excel manual helping students master the necessary calculations so they can then focus on interpretation and decision making
- Fully adapted PowerPoint slides with additional global examples
- Interactive Concept Review Activities
- 1000’s of problem files in Excel and Minitab
- Videos – 17 videos by Ken Black, explaining many of the more difficult concepts allowing students to bridge the gap between theory and application.