Fundamentals of Statistics for Researchers and Data Analysts. This item is unavailable.Fundamentals of Statistics for Researchers and Data Analysts

Fundamentals of Statistics for Researchers and Data Analysts explains statistical methods, and the assumptions and prerequisites for applying various analytical tools from an statistical point of view. Statistical analysis has become indispensable in almost all fields of science, business, industry and medicine, for evidence-based decision making and forecasting. However, due to lack of fundamental understanding of statistics, results of data analysis often remain inconclusive or erroneous. In addition, data analysts or even statistical advisers may not be familiar with the subject area of the data, leading to inaccurate application of statistical tools and interpretation of results. To address these issues, this book breaks down the concepts of statistics into accessible, practical explanations with real-world examples. The book is organized by first explaining what statistical thinking is and how one should proceed with formulating their question in terms of a statistical hypothesis. Then step by step, topics are explained in detail, including data generation by choice of proper study design, data collection methods, identifying outliers, methods of data analysis, and finally interpretation of results to help make the required decision. Essential statistical methods such as classification techniques, correlation analysis, regression models, probability distributions, model building and statistical tests of significance are explained with live datasets using Excel and SPSS. Fundamentals of Statistics for Researchers and Data Analysts instructs readers on the precise methodology of analyzing data and interpretation of statistical results to arrive at a valid conclusion. Readers can use the same methodology from the case studies given in the book for their own applications and research by replacing the variables in the examples with the variables from their own datasets. The book ensures that readers are well-prepared for data-driven roles in various sectors.

• Presents an application-oriented approach towards statistical data analysis with minimal theory
• Highlights the importance of prerequisites of data for applying particular statistical methods
• Contains a variety of case studies and solved examples using software such as Excel and SPSS, along with the actual datasets

Dr Shashi A. Chiplonkar, has worked in Agharkar Research Institute, Government of India, and HC Jehangir medical research Institute, Pune, as a senior scientist in the field of Biometry and nutrition science. She received her Ph.D. in Statistics under the eminent Statistician, the late Dr. P. V. Sukhatme. Dr. Chiplonkdar was a Lecturer in Statistics at undergraduate and postgraduate levels in Pune and Mumbai university. She worked as a research guide for Ph.D. students in Biometry and nutrition, and health sciences, and eleven graduates received their Ph.D.s under her guidance. She has to her credit more than 200 research articles in International and National journals. She has contributed chapters to two books on Biostatistics, and one chapter on “Zinc in Child health” in a Paediatrics textbook. She is the author of “Micronutrients: The Key to Good Health,” published by Bentham Science Publishers.

Jayashree S. Date has a M.Sc. degree in Statistics with Gold Medal from University of Pune, India. She worked as a senior professor and head of the department of Statistics, in Brihan Maharashtra College of Commerce, Pune.