
Statistics for Business and Economics
by James T. McClave, P. George Benson, Terry Sincich
14th Edition
Publisher: Pearson
Book Details
| Print ISBN | 9780136855354 |
| eText ISBN | 9780137376575 |
| Publisher | Pearson |
| Publishing Year | 2022 |
| Edition | 14th Edition |
| Language | English |
Statistics for Business and Economics, 14th Edition, delivers structured instruction in quantitative analytical methods tailored for business and economics students. The textbook establishes essential concepts necessary for collecting data, conducting systematic analyses, and executing sound data-driven decision making within commercial settings.
Coverage begins with methods for describing data sets using measures of central tendency, standard deviation, and distribution spread. The content advances through probability theory, random variables, probability simulations, and sampling distributions. Core statistical inference topics follow, including single and two-sample estimation with confidence intervals, hypothesis testing, correlation analysis, and the assessment of Type I and Type II errors.
By incorporating real data examples, the text highlights ethical business decision making. The material provides target practice for undergraduate and graduate courses focusing on applied statistical reasoning.
Table of Contents
Chapter 1: Statistics, Data, and Statistical Thinking
Chapter 2: Methods for Describing Sets of Data
Chapter 3: Probability
Chapter 4: Random Variables and Probability Distributions
Chapter 5: Sampling Distributions
Chapter 6: Inferences Based on a Single Sample: Estimation with Confidence Intervals
Chapter 7: Inferences Based on a Single Sample: Tests of Hypotheses
Chapter 8: Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
Chapter 9: Design of Experiments and Analysis of Variance
Chapter 10: Categorical Data Analysis
Chapter 11: Simple Linear Regression
Chapter 12: Multiple Regression and Model Building
Chapter 13: Methods for Quality Improvement: Statistical Process Control (Available Online)
Chapter 14: Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)
Chapter 15: Nonparametric Statistics (Available Online)
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