Applied Statistics

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Details

This book will be of special interest to readers regarding the introduction to Statistics, what data is and how to collect data, to present data graphically and in tabular form, as well as interpret various types of statistical data systematically. This book uses the simplest techniques with illustrations to ensure easy understanding. Nowadays Statistical concepts are applied in many fields, such as business, economics, medical science, higher education, social welfare, etc. In addition, when conducting the research, the formulation of a research question, proper study design, possible source of funding, analysis of data obtained, proper interpretation of results and publication, consultants holding various posts, guide for conducting project, term paper, dissertation, thesis, framing policies, decisions regarding investigations, diagnosis and treatment in medical science for example are to be dealt with everywhere in colleges, universities, works places, research organizations, etc. This book will provide basic introductory ideas how to collect data and information as well as tips for reading, writing, analyzing, and sharing valuable information for the purpose of making decisions

Autorentext

Mohammad Kamrul Hasan was born in Bangladesh, South Asia. He is an Assistant Professor of Mathematics at the university and a renowned researcher. He has achieved outstanding academic results in his life and published papers nationally and internationally. His research interests pertain to Lattice Theory, Fuzzy Set, Soft Set, Uncertainty.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786138829942
    • Sprache Englisch
    • Größe H220mm x B150mm x T18mm
    • Jahr 2019
    • EAN 9786138829942
    • Format Kartonierter Einband (Kt)
    • ISBN 6138829948
    • Veröffentlichung 19.04.2019
    • Titel Applied Statistics
    • Autor M. K. Hasan
    • Untertitel Data Collection, Presentation and Interpretation
    • Gewicht 441g
    • Herausgeber Scholars' Press
    • Anzahl Seiten 284
    • Genre Mathematik

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