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Introduction to Statistics Using R [electronic resource] / by Mustapha Akinkunmi.

By: Akinkunmi, Mustapha [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Mathematics & Statistics: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XIX, 215 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031024191.Subject(s): Mathematics | Statistics  | Engineering mathematics | Mathematics | Statistics | Engineering MathematicsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 510 Online resources: Click here to access online
Contents:
Preface -- Introduction to Statistical Analysis -- Introduction to R Software -- Descriptive Data -- Basic Probability Concepts -- Discrete Probability Distributions -- Continuous Probability Distributions -- Other Continuous Probability Distributions -- Sampling and Sampling Distribution -- Confidence Intervals for Single Population Mean and Proportion -- Hypothesis Testing for Single Population Mean and Proportion -- Regression Analysis and Correlation -- Poisson Distribution -- Uniform Distributions -- References -- Author's Biography.
In: Springer Nature eBookSummary: 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.
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Preface -- Introduction to Statistical Analysis -- Introduction to R Software -- Descriptive Data -- Basic Probability Concepts -- Discrete Probability Distributions -- Continuous Probability Distributions -- Other Continuous Probability Distributions -- Sampling and Sampling Distribution -- Confidence Intervals for Single Population Mean and Proportion -- Hypothesis Testing for Single Population Mean and Proportion -- Regression Analysis and Correlation -- Poisson Distribution -- Uniform Distributions -- References -- Author's Biography.

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.

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