000			03279nam a22002537a 4500
003			RNL
005			20260406112407.0
008			260406b |||||||| |||| 00| 0 eng d
020			_a9789371267397
040			_aRCL
082			_a519.5 K34B
100			_aGurmeet Kaur, _931093
245			_aBusiness Statistics _c/ Gurmeet Kaur, Soumya Sharma, Rachan Sareen
260			_aNew Delhi: _bTaxmann Publications, _c2025.
300			_a770p.+ P20, ; 24cm.
505	0		_aDescriptive Statistics Measures of Central Tendency (Arithmetic Mean, Median, Mode) Measures of Dispersion (Range, Quartile Deviation, Mean Deviation, Standard Deviation, Variance, Coefficient of Variation) Moments, Skewness, and Kurtosis Probability & Probability Distributions Fundamental Probability Theorems (Addition, Multiplication, Conditional Probability, Bayes' Theorem) Discrete Distributions: Binomial and Poisson (Properties & Applications) Normal Distribution (Properties, Computing Probabilities & Applications) Correlation and Regression Analysis Correlation Concept and Computation (Pearson's Coefficient, Rank Correlation, Probable Errors) Regression Lines, Regression Equations, Properties of Coefficients, Standard Error of Estimate Time Series Analysis Components of Time Series: Additive and Multiplicative Models Trend Fitting (Least Squares Method for Linear & Second-Degree Parabola) Shifting Origin, Converting Annual Equations to Quarterly/Monthly Basis Index Numbers Construction & Uses (Laspeyres, Paasche, Fisher's Ideal Index) Consumer Price Indices, BSE SENSEX, NSE NIFTY Practical Exercises & Projects Practical application via group research/surveys, data collection, and statistical analysis Detailed guidance on spreadsheet-based problem-solving using Excel or open-source tools such as R/Python The structure of the book is as follows: Chapter Organisation Begins with a clear outline and learning objectives Progresses systematically from foundational concepts to advanced topics Includes logical sequencing to match typical undergraduate coursework coverage and timelines Pedagogical Tools Step-by-step solutions and illustrative examples Chapter-end practice sets for testing and reinforcing understanding Quick-reference formula summaries and essential concept recaps Additional Spreadsheet/Software Section Dedicated coverage on spreadsheet-based (Excel) or open-source software (R, Python) exercises Helps translate theoretical knowledge into practical data analytics skills
520			_aBusiness Statistics is a comprehensive, authentic, and well-illustrated textbook designed to introduce undergraduate students to core statistical concepts and applications. Recognising the essential role of statistics in today's data-driven environment, the book equips learners with the methods needed for data analysis, interpretation, and informed decision-making. The presentation strikes a balance between theoretical rigour and practical application, ensuring students can confidently apply statistical tools to practical business and economic scenarios.
546			_aEnglish
650			_aStatistics
650			_aDescriptive Statistics _931094
700			_aSharma, Soumya _931095
700			_aSareen, Rachan _931096
942			_cBK
999			_c48099 _d48099