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Titlebook: Elementary Statistical Methods; Sahana Prasad Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp

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發(fā)表于 2025-3-21 16:47:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Elementary Statistical Methods
編輯Sahana Prasad
視頻videohttp://file.papertrans.cn/308/307425/307425.mp4
概述Discusses the basics of statistical methods and analysis.Includes several case studies, examples and exercises.Is useful to undergraduate students of statistics, management and economics
圖書封面Titlebook: Elementary Statistical Methods;  Sahana Prasad Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp
描述This is the first book of two volumes covering the basics of statistical methods and analysis. Significant topics include concepts of research and data analysis, descriptive statistics, probability and distributions, correlation and regression, and statistical inference. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed tools. This book will be a valuable text for undergraduate students of statistics, management, economics, and psychology, wanting to gain basic understanding of statistics and the usage of its various concepts.?.
出版日期Textbook 2022
關(guān)鍵詞statistics; statistical tools; descriptive statistics; statistical inference; usage of tool; probability
版次1
doihttps://doi.org/10.1007/978-981-19-0596-4
isbn_softcover978-981-19-0598-8
isbn_ebook978-981-19-0596-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Liver Stiffness in Autoimmune Hepatitiscertainty. If we throw a ball from a height and there is nothing to stop the ball midway, it will surely fall to the ground. There is no uncertainty here. But think of a dart thrown at a board. It might strike anywhere. An experiment can be deterministic or random. In a deterministic experiment, the
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answers three questions—is there a relationship, what is the strength of relationship and direction of the relationship? Regression expresses this relationship in a mathematical form so that the equation can be used for predicting other values. However correlation does not deal with causation, that
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