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Handbook of Statistics
Handbook of Statistics
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Author : Debasish Biswas, Atanu Manna & Tanusree Chakraborty
Pages : 346
Year of Publication : 2025
Language : English
Binding : Hardback
The book, named "Handbook of Statistics," offers an extensive guide designed specifically for social science students commencing statistical analysis endeavours. It provides a unique approach by not only exploring statistical concepts but also highlighting their practical significance and implementation. Encompassing an extensive range of topics, the book commences with an exposition on statistics, establishing the groundwork by elucidating its definition, extent, and constraints. The content of the course is organized in a logical manner, covering topics such as scale of measurement, data structure, data collection and presentation, measures of central tendency and dispersion, correlation, regression, index numbers, sampling techniques, hypothesis testing, and probability distribution. It examines various scales of measurement and their importance, explains different methods of collecting data, and emphasizes the significance of presenting data effectively using text, tables, and graphs. A notable aspect of the book is its emphasis on practicality. By clarifying the most suitable statistical tools for various types of data and analysis, the book enables students to make well-informed decisions in their research pursuits. In addition, the discussion on sampling techniques provides students with the necessary knowledge to create strong research methodologies. Furthermore, the chapters on hypothesis testing and probability distribution establish a firm basis for performing statistical inference. The book effectively presents advanced statistical concepts while ensuring accessibility through the use of clear language and an organized structure.
Pages : 346
Year of Publication : 2025
Language : English
Binding : Hardback
The book, named "Handbook of Statistics," offers an extensive guide designed specifically for social science students commencing statistical analysis endeavours. It provides a unique approach by not only exploring statistical concepts but also highlighting their practical significance and implementation. Encompassing an extensive range of topics, the book commences with an exposition on statistics, establishing the groundwork by elucidating its definition, extent, and constraints. The content of the course is organized in a logical manner, covering topics such as scale of measurement, data structure, data collection and presentation, measures of central tendency and dispersion, correlation, regression, index numbers, sampling techniques, hypothesis testing, and probability distribution. It examines various scales of measurement and their importance, explains different methods of collecting data, and emphasizes the significance of presenting data effectively using text, tables, and graphs. A notable aspect of the book is its emphasis on practicality. By clarifying the most suitable statistical tools for various types of data and analysis, the book enables students to make well-informed decisions in their research pursuits. In addition, the discussion on sampling techniques provides students with the necessary knowledge to create strong research methodologies. Furthermore, the chapters on hypothesis testing and probability distribution establish a firm basis for performing statistical inference. The book effectively presents advanced statistical concepts while ensuring accessibility through the use of clear language and an organized structure.
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