Taxmanns Business Statistics [UGCF | NEP] Comprehensively Introduces Core Statistical ConceptsFeaturing Solved Examples | P

Business Statistics Is A Comprehensive, Authentic, And WellIllustrated Textbook Designed To Introduce Undergraduate Students To Core Statistical Concepts And Applications. Recognising The Essential Role Of Statistics In TodayS DataDriven Environment, The Book Equips Learners With The Methods Needed For Data Analysis, Interpretation, And Informed DecisionMaking. The Presentation Strikes A Balance Between Theoretical Rigour And Practical Application, Ensuring Students Can Confidently Apply Statistical Tools To Practical Business And Economic Scenarios.This Book Will Be Helpful For The Following Audience: Undergraduate Students (Commerce & Management) This Book Is Aligned With The B.Com. (Hons.) And B.Com. Syllabi Under The New UgcfNep 2020 Framework Of The University Of Delhi, As Well As Other Universities In India And Abroad Instructors & Faculty Offers A Structured Pathway And A Robust Resource Base For Teaching Fundamental To IntermediateLevel Statistics With Relevant Examples And Exercises Lifelong Learners & Budding Researchers Those Looking To Develop A Solid Foundational Understanding Of Statistical Methods And Their Application In Business Settings Will Find This Book Indispensablethe Present Publication Is The 2Nd Edition, Authored By Dr Gurmeet Kaur, Soumya Sharma, And Dr Rachan Sareen, With The Following Noteworthy Features: [StudentCentric Design] Closely Follows The B.Com. (Hons.) And B.Com. Course Structures Under The UgcfNep 2020 Framework. Its Simple Language Ensures A Clear Understanding Of Fundamental And Advanced Concepts [Solved Examples] Each Chapter Contains Numerous WorkedOut Examples That Demonstrate Key Statistical Techniques StepByStep [Practice Problems] EndOfChapter Exercises Ranging From Conceptual Questions And Numerical Problems To DataAnalysis Tasks. It Encourages HandsOn Learning And Promotes Critical Thinking [Formula Summaries] Convenient Formula Lists For Quick Revision And Reference, Helping Students To Review Essential Concepts Efficiently [ExcelBased Exercises] Practical Demonstrations And Exercises Using Excel, Equipping Students With IndustryRelevant Data Manipulation And Statistical Skills [Comprehensive Resource] Serves As A Classroom Text And A Reference Guide For Deeper Statistical Exploration. It Is Appropriate For Preparing Assignments, Projects, And University Examinations [Robust Author Expertise] The Authors Combine Decades Of Teaching And Research Experience, Making The Content Authentic, Academically Rigorous, And LearnerFriendlythe Coverage Of The Book Is As Follows: Descriptive Statisticso Measures Of Central Tendency (Arithmetic Mean, Median, Mode)O Measures Of Dispersion (Range, Quartile Deviation, Mean Deviation, Standard Deviation, Variance, Coefficient Of Variation)O Moments, Skewness, And Kurtosis Probability & Probability Distributionso Fundamental Probability Theorems (Addition, Multiplication, Conditional Probability, Bayes Theorem)O Discrete Distributions: Binomial And Poisson (Properties & Applications)O Normal Distribution (Properties, Computing Probabilities & Applications) Correlation And Regression Analysiso Correlation Concept And Computation (PearsonS Coefficient, Rank Correlation, Probable Errors)O Regression Lines, Regression Equations, Properties Of Coefficients, Standard Error Of Estimate Time Series Analysiso Components Of Time Series: Additive And Multiplicative Modelso Trend Fitting (Least Squares Method For Linear & SecondDegree Parabola)O Shifting Origin, Converting Annual Equations To Quarterly/Monthly Basis Index Numberso Construction & Uses (Laspeyres, Paasche, FisherS Ideal Index)O Consumer Price Indices, Bse Sensex, Nse Nifty Practical Exercises & Projectso Practical Application Via Group Research/Surveys, Data Collection, And Statistical Analysiso Detailed Guidance On SpreadsheetBased ProblemSolving Using Excel Or OpenSource Tools Such As R/Pythonthe Structure Of The Book Is As Follows: Chapter Organisationo Begins With A Clear Outline And Learning Objectiveso Progresses Systematically From Foundational Concepts To Advanced Topicso Includes Logical Sequencing To Match Typical Undergraduate Coursework Coverage And Timelines Pedagogical Toolso StepByStep Solutions And Illustrative Exampleso ChapterEnd Practice Sets For Testing And Reinforcing Understandingo QuickReference Formula Summaries And Essential Concept Recaps Additional Spreadsheet/Software Sectiono Dedicated Coverage On SpreadsheetBased (Excel) Or OpenSource Software (R, Python) Exerciseso Helps Translate Theoretical Knowledge Into Practical Data Analytics Skills