Business Statistics Problems and Solutions

1. Data Classification, Tabulation, and Presentation
2. Measures of Central Tendency
3. Measures of Dispersion
4. Skewness, Moment, and Kurtosis
5. Fundamentals of Probability
6. Probability Distribution
7. Sampling and Sampling Distributions
8. Estimation and Confidence

Key features complete conformity to the latest trend of questions appearing in universities and professional examination. Variety of solved examples to provide integrated view of theory and applications of statistical methods. Chapters include: more than 500 solved problems and more than 450 unsolved questions for practice answers and sufficient hints to unsolved problems to enable students learn at their own pace. About the book: business statistics: problems and solutions precise and to the point, this book elucidates the key concepts and methods of business statistics. It aims to supplement textbooks on business statistics and upgrade students knowledge and skill in the subject and also helps them understand applications of statistical methods in real-life problems. This book meets the requirement of students pursuing bba, b.Com. (hons), mba, m.Com. Etc. Contents: data classification, tabulation, and presentation measures of central tendency measures of dispersion skewness, moments, and kurtosis fundamentals of probability probability distributions sampling and sampling distributions estimation and confidence intervals hypothesis testing chi-square and other non-parametric test analysis of variance correlation analysis regression analysis partial and multiple correlation, and regression analysis forecasting and time series analysis index numbers statistical quality control statistical decision theory interpolation and extrapolation associations of attributes about the author: j k sharma prof. J k sharma is professor, amity business school, amity university, noida. Formerly a professor at the faculty of management studies, university of delhi, he has more than 36 years of teaching experience of operations research, business statistics, business mathematics and logistics management.