
Statistics for Business & Economics
Revised
by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
14th Edition
Publisher: Cengage Learning
Book Details
| Print ISBN | 9781337901062 |
| eText ISBN | 9798214353302 |
| Publisher | Cengage Learning |
| Publishing Year | 2020 |
| Edition | 14th Edition |
| Language | English |
In today's hyper-connected, data-driven global marketplace, the ability to convert raw numbers into actionable strategic insights is no longer just a competitive advantage; it is a fundamental requirement for organizational survival and growth. Statistics for Business & Economics, Revised 14th Edition delivers a comprehensive, highly accessible, and rigorous introduction to the essential quantitative methodologies that define modern commerce. By successfully bridging the gap between theoretical mathematical concepts and practical corporate application, this authoritative volume empowers future leaders to navigate complex analytical landscapes with absolute confidence. As businesses increasingly rely on predictive modeling and big data, mastering these core statistical principles becomes crucial for making informed, risk-mitigated decisions that drive sustainable success.
The distinguished author team utilizes a highly celebrated, intuitive problem-scenario approach that immediately contextualizes every statistical technique within real-world corporate scenarios. Readers are guided through a diverse array of business disciplines, including corporate finance, strategic marketing, supply chain operations, and human resource management, illustrating how empirical evidence directly guides high-stakes managerial decision-making. Rather than presenting mathematical formulas in isolation, the text emphasizes deep conceptual understanding, ensuring that students grasp not only how to perform complex calculations but also why those resulting metrics matter within a broader macroeconomic environment. This practical perspective transforms abstract theory into a vital tool for real-world problem-solving.
Designed specifically for undergraduate and graduate-level courses in business statistics, this edition integrates cutting-edge software instructions, including Excel 2016 and JMP Student Edition 14, to prepare students for the modern technological workplace. Academic institutions worldwide adopt Statistics for Business & Economics, Revised 14th Edition for its unmatched mathematical accuracy, robust end-of-chapter exercise sets, and seamless digital learning integration. For students seeking a flexible, dynamic, and highly interactive learning experience, the Statistics for Business & Economics, Revised 14th Edition PDF provides a portable, fully searchable format that makes mastering complex probability distributions and regression models more efficient and accessible than ever before.
Table of Contents
Chapter 1: Data and Statistics
- • Applications in Business and Economics
- • Data Sources and Elements
- • Descriptive Analytics vs. Predictive Analytics
Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
- • Summarizing Qualitative Data
- • Summarizing Quantitative Data
- • Cross-tabulations and Scatter Diagrams
Chapter 3: Descriptive Statistics: Numerical Measures
- • Measures of Location
- • Measures of Variability
- • Measures of Association Between Two Variables
Chapter 4: Introduction to Probability
- • Experiments, Counting Rules, and Assigning Probabilities
- • Events and Their Probabilities
- • Bayes' Theorem
Chapter 5: Discrete Probability Distributions
- • Random Variables
- • Binomial Probability Distribution
- • Poisson Probability Distribution
Chapter 6: Continuous Probability Distributions
- • Uniform Probability Distribution
- • Normal Probability Distribution
- • Exponential Probability Distribution
Chapter 7: Sampling and Sampling Distributions
- • Simple Random Sampling
- • Point Estimation
- • Sampling Distribution of the Mean
Chapter 8: Interval Estimation
- • Population Mean: Sigma Known
- • Population Mean: Sigma Unknown
- • Determining the Sample Size
Chapter 9: Hypothesis Tests
- • Developing Null and Alternative Hypotheses
- • Type I and Type II Errors
- • One-Tailed and Two-Tailed Tests
Chapter 10: Inference About Means and Proportions with Two Populations
- • Inferences About the Difference Between Two Population Means
- • Inferences About the Difference Between Two Population Proportions
Chapter 11: Inferences About Population Variances
- • Inferences About a Single Population Variance
- • Inferences About Two Population Variances
Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
- • Goodness of Fit Test
- • Test of Independence
- • Comparing Multiple Proportions
Chapter 13: Simple Linear Regression
- • Simple Linear Regression Model
- • Least Squares Method
- • Coefficient of Determination
Chapter 14: Multiple Regression
- • Multiple Regression Model
- • Least Squares Method
- • Multiple Coefficient of Determination
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