Statistics for Management

Author: I. Levin Richard , H. Siddiqui Masood
Publisher: Pearson Education
Language: English
Edition: 8th
Year of Print: 2020
Binding: Paperback
Print Length: 985 Pages
ISBN: 9789332581180
About the Book

Statistics for Management, 8e, is a comprehensive textbook designed to help students understand the statistical concepts and applications used in business and management situations. In the manner of the earlier editions, this edition too omits complex notations in favor of graphic and verbal explanations and aims to explain the subject with a practical orientation. Examples from the real world are discussed to explain how the textbook principles work in professional practice. Written in a simple and lucid language, this book is an excellent resource for students pursuing management courses. Salient Features• Emphasis on providing easy-to-understand explanation of statistical topic a strong real-world focus • Offers three types of end-of-chapter exercise – Basic Concepts (exercises without scenarios), Applications (with scenarios) and Self-Check Exercises (with worked-out solutions right in the section)• Increase in the number of real-world examples in the end-of-chapter sections Review and Application Exercises • Includes new problems and cases specifically covering the Indian scenario• Provides a stepwise guide along with relevant snapshots for running various tools on the SPSS software and the MS Excel PackageContentsChapter 1 IntroductionChapter 2 Grouping and Displaying Data to Convey Meaning:Tables and GraphsChapter 3 Measures of Central Tendency and Dispersionin Frequency DistributionsChapter 4 Probability I: Introductory IdeasChapter 5 Probability DistributionsChapter 6 Sampling and Sampling DistributionsChapter 7 EstimationChapter 8 Testing Hypotheses: One-sample TestsChapter 9 Testing Hypotheses: Two-sample TestsChapter 10 Quality and Quality ControlChapter 11 Chi-Square and Analysis of VarianceChapter 12 Simple Regression and CorrelationChapter 13 Multiple Regression and ModellingChapter 14 Nonparametric MethodsChapter 15 T time Series and ForecastingChapter 16 Index NumbersChapter 17 Decision TheoryAppendix TablesBibliographyIndex