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Titlebook: Introduction to Statistics Using R; Mustapha Akinkunmi Book 2019 Springer Nature Switzerland AG 2019

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發(fā)表于 2025-3-21 16:19:21 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Introduction to Statistics Using R
編輯Mustapha Akinkunmi
視頻videohttp://file.papertrans.cn/475/474214/474214.mp4
叢書名稱Synthesis Lectures on Mathematics & Statistics
圖書封面Titlebook: Introduction to Statistics Using R;  Mustapha Akinkunmi Book 2019 Springer Nature Switzerland AG 2019
描述Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers with some statistical methods while simultaneously learning R scripts.
出版日期Book 2019
版次1
doihttps://doi.org/10.1007/978-3-031-02419-1
isbn_softcover978-3-031-01291-4
isbn_ebook978-3-031-02419-1Series ISSN 1938-1743 Series E-ISSN 1938-1751
issn_series 1938-1743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Introduction to Statistical Analysis,nning a small business, a corporation, or the economy as a whole. This book is a bit different from most statistics books in that it will focus on using data to help you do business and so the focus is not on statistics for statistics stake but rather on what you need to know to really use statistics.
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Discrete Probability Distributions,al part or real number. When the probabilities are assigned to random variables, then the collection of such probabilities give rise to a probability distribution. The probability distribution function can be abbreviated as pdf. A discrete probability distribution satisfies two conditions:.and
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Continuous Probability Distributions,erve that the sum symbol, Σ, which is used in derivation of mean and variance of discrete probability distribution has turned to an integral symbol. The integral sign indicates sum of continous random variable over an interval of points. Examples of continous probability distributions are normal dis
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