Taiwan

書籍介紹
作者：
Anderson 
年份：
2020 年14 版
ISBN：
9780357114483
書號：
PS0471PC
規格：
平裝/彩色
頁數：
1152
出版商：
Cengage

●TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, authors David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry and Jeffrey W. Ohlmann deliver an accurate, real-world presentation of statistical concepts you can trust with every edition.
●SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly master the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems

作者簡介
Dr. David R. Anderson is a leading author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati.
Dr. Dennis J. Sweeney is a leading author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati.
Dr. Thomas A. Williams is both a prominent author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology.
Dr. Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Business Analytics in the School of Business at Wake Forest University.
James J. Cochran is Associate Dean for Research, Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama.
Michael J. Fry is Professor and Academic Director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati.
Jeffrey W. Ohlmann is Associate Professor of Management Sciences and Huneke Research Fellow in the Tippie College of Business at the University of Iowa.

本書目錄
1.Data and Statistics.
2.Descriptive Statistics: Tabular and Graphical Displays.
3.Descriptive Statistics: Numerical Measures.
4.Introduction to Probability.
5.Discrete Probability Distributions.
6.Continuous Probability Distributions.
7.Sampling and Sampling Distributions.
8.Interval Estimation.
9.Hypothesis Tests.
10.Inference about Means and Proportions with Two Populations.
11.Inferences about Population Variances.
12.Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13.Experimental Design and Analysis of Variance.
14.Simple Linear Regression.
15.Multiple Regression.
16.Regression Analysis: Model Building.
17.Time Series Analysis and Forecasting.
18.Nonparametric Methods.
19.Decision Analysis
20.Index Numbers.
21.Statistical Methods for Quality Control.
22.Sample Survey (MindTap Reader).
Appendix A.References and Bibliography.
Appendix B.Tables.
Appendix C.Summation Notation.