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Fundamentals of Statistics

Fundamentals of Statistics
  • Author : H. Mulholland
  • Publsiher : Butterworth-Heinemann
  • Release : 20 May 2014
  • ISBN : 1483106047
  • Pages : 301 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKFundamentals of Statistics

Summary:
Fundamentals of Statistics covers topics on the introduction, fundamentals, and science of statistics. The book discusses the collection, organization and representation of numerical data; elementary probability; the binomial Poisson distributions; and the measures of central tendency. The text describes measures of dispersion for measuring the spread of a distribution; continuous distributions for measuring on a continuous scale; the properties and use of normal distribution; and tests involving the normal or student's ‘t’ distributions. The use of control charts for sample means; the ranges and fraction defective; the chi-squared distribution; the F distribution; and the bivariate distributions are also considered. The book deals with the idea of mathematical expectation and its relationship with mean, variance, and covariance, as well as weighted averages, death rates, and time series. Students studying for advanced level education or higher national certificates in Mechanical or Electrical Engineering, Mathematics, Chemistry, Biology, or Pharmacy, as well as university students taking such courses will find the book invaluable.


Fundamentals of Statistics

Fundamentals of Statistics
  • Author : H. Mulholland,C. R. Jones
  • Publisher : Butterworth-Heinemann
  • Release : 20 May 2014
GET THIS BOOKFundamentals of Statistics

Fundamentals of Statistics covers topics on the introduction, fundamentals, and science of statistics. The book discusses the collection, organization and representation of numerical data; elementary probability; the binomial Poisson distributions; and the measures of central tendency. The text describes measures of dispersion for measuring the spread of a distribution; continuous distributions for measuring on a continuous scale; the properties and use of normal distribution; and tests involving the normal or student's ‘t’ distributions. The use of control charts for sample

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Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics
  • Author : S.C. Gupta,V.K. Kapoor
  • Publisher : Sultan Chand & Sons
  • Release : 10 September 2020
GET THIS BOOKFundamentals of Mathematical Statistics

Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the

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Fundamentals of Statistics

Fundamentals of Statistics
  • Author : Michael Sullivan III
  • Publisher : Pearson
  • Release : 28 October 2015
GET THIS BOOKFundamentals of Statistics

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Drawing upon his passion for statistics and teaching, Mike Sullivan addresses the needs of today’s students, the challenges teachers face, and changes in the statistics community. With feedback from his own students and classroom experience, Fundamentals of Statistics provides the tools to help students learn better and think statistically in a

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Fundamentals of Modern Statistical Methods

Fundamentals of Modern Statistical Methods
  • Author : Rand R. Wilcox
  • Publisher : Springer Science & Business Media
  • Release : 18 March 2010
GET THIS BOOKFundamentals of Modern Statistical Methods

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of

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Fundamentals of Statistics

Fundamentals of Statistics
  • Author : Truman Lee Kelley
  • Publisher : Anonim
  • Release : 23 May 2022
GET THIS BOOKFundamentals of Statistics

This book provides a broad general survey of the principles of scientific method, and a substantial basic knowledge of statistics particularly in its application to scientific research and with special relevance to the fields of the social and biological sciences. The introductory chapters aim to place statistical procedures in the reader's general philosophy and experience, and to show him their logical importance and practical utility. Mr. Kelley then develops a detailed presentation of essential statistics. Finally, he makes a serious

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Fundamentals of High-Dimensional Statistics

Fundamentals of High-Dimensional Statistics
  • Author : Johannes Lederer
  • Publisher : Springer Nature
  • Release : 16 November 2021
GET THIS BOOKFundamentals of High-Dimensional Statistics

This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by numerous exercises, many of them with detailed solutions, and computer labs in R that convey valuable practical insights. The book covers the theory and practice of high-dimensional linear regression, graphical models, and inference, ensuring readers have a smooth start in the field. It also offers suggestions for further reading. Given its scope, the textbook is intended for beginning graduate and advanced

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Fundamentals of Descriptive Statistics

Fundamentals of Descriptive Statistics
  • Author : Zealure C Holcomb
  • Publisher : Routledge
  • Release : 13 September 2016
GET THIS BOOKFundamentals of Descriptive Statistics

• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation. • In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation. • Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included. • Computational

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Fundamentals of Probability: A First Course

Fundamentals of Probability: A First Course
  • Author : Anirban DasGupta
  • Publisher : Springer Science & Business Media
  • Release : 02 April 2010
GET THIS BOOKFundamentals of Probability: A First Course

Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?

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Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics
  • Author : Hung T. Nguyen,Gerald S. Rogers
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKFundamentals of Mathematical Statistics

This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I,

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Fundamentals of Statistical Reasoning in Education, 4th Edition

Fundamentals of Statistical Reasoning in Education, 4th Edition
  • Author : Theodore Coladarci
  • Publisher : Wiley Global Education
  • Release : 11 November 2013
GET THIS BOOKFundamentals of Statistical Reasoning in Education, 4th Edition

Fundamentals of Statistical Reasoning in Education, 4th Edition is a text specifically geared towards the education community. This text gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasizes conceptual development with an engaging style and clear exposition.

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The R Software

The R Software
  • Author : Pierre Lafaye de Micheaux,Rémy Drouilhet,Benoit Liquet
  • Publisher : Springer Science & Business
  • Release : 13 May 2014
GET THIS BOOKThe R Software

The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language

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Fundamentals of Statistics in Health Administration

Fundamentals of Statistics in Health Administration
  • Author : Robert W. Broyles
  • Publisher : Jones & Bartlett Learning
  • Release : 23 May 2022
GET THIS BOOKFundamentals of Statistics in Health Administration

There is a vast need for statistical analysis and applications in health care administration. However, students typically have weak quantitative skills. Yet students typically come armed with weak quantitative skills and a poor understanding of statistics. Statistics are a key element of many health administration courses - financial management, quantitative methods etc. but texts in this area presume skills in this area often leaving students adrift. Statistics in Health Administration Kept Simple covers essential fundamentals in a user-friendly way with

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Random Phenomena

Random Phenomena
  • Author : Babatunde A. Ogunnaike
  • Publisher : CRC Press
  • Release : 20 May 2011
GET THIS BOOKRandom Phenomena

Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides students with a working knowledge of how to solve engineering problems that involve randomly varying phenomena. Basing his approach on the principle of theoretical foundations

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Probability for Statistics and Machine Learning

Probability for Statistics and Machine Learning
  • Author : Anirban DasGupta
  • Publisher : Springer Science & Business Media
  • Release : 17 May 2011
GET THIS BOOKProbability for Statistics and Machine Learning

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and

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