# Fundamentals 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 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.

Produk Detail:

• Author : H. Mulholland
• Publisher : Butterworth-Heinemann
• Pages : 301 pages
• ISBN : 1483106047
• Rating : 4/5 from 21 reviews

## Fundamentals of Statistics

• Author : H. Mulholland,C. R. Jones
• Publisher : Butterworth-Heinemann
• Release : 20 May 2014

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

## Fundamentals of Mathematical Statistics

• Author : S.C. Gupta,V.K. Kapoor
• Publisher : Sultan Chand & Sons
• Release : 10 September 2020

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

## Foundations of Statistics

• Author : D.G. Rees
• Publisher : CRC Press
• Release : 01 September 1987

This text provides a through, straightforward first course on basics statistics. Emphasizing the application of theory, it contains 200 fully worked examples and supplies exercises in each chapter-complete with hints and answers.

## Fundamentals of Statistics

• Author : Michael Sullivan III
• Publisher : Pearson
• Release : 28 October 2015

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

## Fundamentals of High-Dimensional Statistics

• Author : Johannes Lederer
• Publisher : Springer Nature
• Release : 16 November 2021

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

## Fundamentals of Mathematical Statistics

• Author : Hung T. Nguyen,Gerald S. Rogers
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

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,

## Fundamentals of Modern Statistical Methods

• Author : Rand R. Wilcox
• Publisher : Springer Science & Business Media
• Release : 18 March 2010

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

## Fundamentals of Statistical Experimental Design and Analysis

• Author : Robert G. Easterling
• Publisher : John Wiley & Sons
• Release : 23 October 2015

Professionals in all areas – business; government; thephysical, life, and social sciences; engineering; medicine, etc.– benefit from using statistical experimental design tobetter understand their worlds and then use that understanding toimprove the products, processes, and programs they are responsiblefor. This book aims to provide the practitioners of tomorrow with amemorable, easy to read, engaging guide to statistics andexperimental design. This book uses examples, drawn from a variety of established texts,and embeds them in a business or scientific context, seasoned witha

## Fundamentals of Statistics with Fuzzy Data

• Author : Hung T. Nguyen,Berlin Wu
• Publisher : Springer
• Release : 30 November 2010

This book presents basic aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The book aims at motivating statisticians to examine fuzzy statistics to enlarge the domain of applicability of statistics in general.

## Fundamentals of Descriptive Statistics

• Author : Zealure C Holcomb
• Publisher : Routledge
• Release : 13 September 2016

• 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

## The R Software

• Author : Pierre Lafaye de Micheaux,Rémy Drouilhet,Benoit Liquet
• Publisher : Springer Science & Business
• Release : 13 May 2014

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

## Fundamentals of Probability: A First Course

• Author : Anirban DasGupta
• Publisher : Springer Science & Business Media
• Release : 02 April 2010

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?

## Fundamentals of Statistical Reasoning in Education

• Author : Theodore Coladarci,Casey D. Cobb
• Publisher : John Wiley & Sons
• Release : 31 December 2013

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 emphasises conceptual development with an engaging style and clear exposition.

## Fundamentals of Statistical Reasoning in Education

• Author : Theodore Coladarci,Casey D. Cobb,Edward W. Minium,Robert C. Clarke
• Publisher : John Wiley & Sons
• Release : 11 October 2010

A statistics book specifically geared towards the education community. This book 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.

## Fundamentals of Statistics in Health Administration

• Author : Robert W. Broyles
• Publisher : Jones & Bartlett Learning
• Release : 01 July 2022

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