Business and Economic Statistics Technology: 11th Edition

Author: Lin De
Publisher:
Publish Date: 2005-10-01
Features: This book is an excellent textbook written for students majoring in economics, finance, finance, marketing, accounting, management, and other business management fields. Through studying this book, readers will learn how to apply statistical techniques in practice and extract decision-making information from data. —Translated by Yi Danhui
This book is of moderate difficulty, with clear and concise explanations, combined with numerous examples to illustrate how statistical methods are applied, greatly facilitating readers' learning. —Edited by Ren
This is one of the best textbooks in the field of statistics, having gone through 10 revisions and remaining a bestseller. It has been widely adopted as a textbook and essential reference in many countries in the United States and around the world. Today, whether in economics, finance, finance, marketing, accounting, management, or other business fields, there is a need to process vast amounts of information. This book provides the most effective tools for readers to deeply understand the meaning of statistical concepts. It is arranged innovatively, with clear explanations, interspersed with a wealth of rich, detailed, and vivid case studies. Accurate and comprehensive answers are provided at the end of each chapter, making statistical techniques no longer dull and facilitating readers' comprehension and learning.
The book consists of 7 parts and 20 chapters, covering main topics such as: What is statistics? Describing data: frequency distributions and graphical representations; Describing data: measures of central tendency; Other descriptive measures; An overview of probability concepts; Discrete probability distributions; Normal probability distributions; Sampling methods and the central limit theorem; Estimation and confidence intervals; One-sample hypothesis testing; Two-sample hypothesis testing; Analysis of variance; Linear regression and correlation; Multiple regression and correlation analysis; Nonparametric methods: Chi-square tests; Nonparametric methods: Ordinal data analysis; Index; Time series and forecasting, as well as an introduction to decision theory.
The target audience for this book is extremely broad. It is not only suitable for teachers, undergraduates, and postgraduates in statistics majors across various financial and economic institutions nationwide but also provides the best textbook for students majoring in economics, finance, finance, marketing, accounting, management, and other business management fields to apply statistical techniques in various business fields. It is also a must-read reference for self-learners interested in the application of business and economic statistics.