Description Business Statistics offers readers a foundation in core statistical concepts usinga perfect blend of theory and practical application. This bookpresents business statistics as value added tools in the process ofconverting data into useful information. The step-by-step approachused to discuss three main statistical software applications, MSExcel, Minitab, and SP Description Business Statistics offers readers a foundation in core statistical concepts usinga perfect blend of theory and practical application. This bookpresents business statistics as value added tools in the process ofconverting data into useful information. The step-by-step approachused to discuss three main statistical software applications, MSExcel, Minitab, and SPSS, which are critical tools for decisionmaking in the business world, makes this book extremely userfriendly. India-centric case studies and examples demonstrate themany uses of statistics in business and economics. The underlyingfocus on the interpretation of results rather than computationmakes this book highly relevant for students and practisingmanagers. Practice quizzes and true/false questions for students,and lecture slides and solutions manual for instructors areavailable at http://wps.pearsoned.com/bajpai_busin... Offers a foundation in business statistics using an optimum blend of theory and application Uses a step-by-step approach to discuss the statistical applications of MS Excel, Minitab, and SPSS Examples and problems framed using real-time data from organizations such as the CMIE and indiastat.com CD-ROM with MS Excel and Minitab data files of all problems and Minitab trial software Maintains a logical and coherent flow of concepts Introduction to Statistics Charts and Graphs Measures of Central Tendency Measures of Dispersion Probability Discrete Probability Distributions Continuous Probability Distributions Sampling and Sampling Distributions Statistical Inference: Estimation for Single Populations Statistical Inference: Hypothesis Testing for Single Populations Statistical Inference: Hypothesis Testing for Two Populations Analysis of Variance and Experimental Designs Hypothesis Testing for Categorical Data (Chi-Square Test) Simple Linear Regression Analysis Multiple Regression Analysis Time Series and Index Numbers Statistical Quality Control Non-Parametric Stati