Download or read book Statistics Made Simple Do It Yourself On Pc 2Nd Ed written by Sarma and published by PHI Learning Pvt. Ltd.. This book was released on 2010-01-30 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in a reader-friendly style, this thoroughly revised text teaches the students how to handle data and get the desired output through commonly available software like Microsoft Office 2007 and Excel using a step-by-step approach. Real-life data have been analyzed and illustrated through graphs, tables and screenshots. An entire chapter is devoted to Crystal Reports (CRP) software, which is currently used for rendering custom-designed reports from databases. This book will also benefit all those professionals who are not aware of the use of computer for data handling and statistical analysis.
Download or read book Statistics Made Simple written by K. V. S. Sarma and published by PHI Learning Pvt. Ltd.. This book was released on 2004-08 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariate Statistics Made Simple written by K V S Sarma and published by CRC Press. This book was released on 2018-11-19 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on.
Download or read book STATISTICS written by NADAR E. NARAYANAN and published by PHI Learning Pvt. Ltd.. This book was released on 2015-01-08 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is vital to decision making in business and our everyday lives. This book on statistics, in its Second Edition, continues to cover both the theoretical and the practical aspects of statistics which facilitate easy understanding of the fundamentals. The book contains twenty-two chapters. It begins with an introduction of statistics and describes statistical survey and sampling methods. It then discusses collection, classification, tabulation, as well as diagrammatic and graphical presentation of data very lucidly. The book then goes on to explain measures of central tendency or averages, measures of dispersion, measures of skewness, kurtosis and moments, and correlation and regression analysis. Finally, index numbers, time series analysis, probability and theoretical distributions, along with vital and population statistics, are discussed in a clear way. This book is primarily designed for the undergraduate and the postgraduate students of economics, commerce and management. In addition, it will be of great benefit to the students of demography and mathematics. NEW TO THIS EDITION • Chapter-end Multiple Choice Questions and Answers. • Sections on “Population Census of 2011”, in Chapter 22. KEY FEATURES • Includes numerous illustrative examples with solutions throughout the text to illustrate the application of the concepts. • Incorporates a large number of tables, diagrams and graphs to help students understand the concepts clearly. • Provides chapter-end exercises to enable students to test their comprehension of the topics discussed.
Download or read book Medical Statistics Made Easy written by Michael Harris and published by CRC Press. This book was released on 2003-12-05 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is not necessary to know how to do a statistical analysis to critically appraise a paper. However, it is necessary to have a grasp of the basics, of whether the right test has been used and how to interpret the resulting figures. Short, readable, and useful, this book provides the essential, basic information without becoming bogged down in the
Download or read book JOB SATISFACTION IN INDUSTRIAL WORKERS DETERMINANTS AND DIMENSIONS written by Dr. Sudhakar Shivaji Jadhav and published by Lulu.com. This book was released on with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book DATA ANALYSIS AND BUSINESS MODELLING USING MICROSOFT EXCEL written by Hansa Lysander Manohar and published by PHI Learning Pvt. Ltd.. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics is Easy written by Manpreet Singh Katari and published by Springer Nature. This book was released on 2022-05-31 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis. Parametric statistical methods assume that the data is a sample from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions. The companion book Statistics is Easy, gave a (nearly) equation-free introduction to nonparametric (i.e., no distribution assumption) statistical methods. The present book applies data preparation, machine learning, and nonparametric statistics to three quite different life science datasets. We provide the code as applied to each dataset in both R and Python 3. We also include exercises for self-study or classroom use.
Download or read book Statistics Made Simple written by and published by . This book was released on 1981 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introductory Statistics with R written by Peter Dalgaard and published by Springer Science & Business Media. This book was released on 2008-06-27 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Download or read book Statistics Made Simple written by Homer Thornton Hayslett and published by . This book was released on 1980 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics Made Simple for Researchers 2008 Ed written by and published by Rex Bookstore, Inc.. This book was released on with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics for Linguistics with R written by Stefan Th. Gries and published by Walter de Gruyter. This book was released on 2009-12-15 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website. The volume is aimed at beginners on every level of linguistic education: undergraduate students, graduate students, and instructors/professors and can be used in any research methods and statistics class for linguists. It presupposes no quantitative/statistical knowledge whatsoever and, unlike most competing books, begins at step 1 for every method and explains everything explicitly.
Download or read book The Humongous Book of Statistics Problems written by Robert Donnelly and published by Penguin. This book was released on 2009-12-01 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to solve statistics problems—and make them no problem! Most math and science study guides are dry and difficult, but this is the exception. Following the successful The Humongous Books in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. There are also annotated notes throughout the book to clarify each problem—all guided by an author with a great track record for helping students and math enthusiasts. His website (calculus-help.com) reaches thousands of students every month.
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
