Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Statistics Made Simple Do It Yourself On Pc 2nd Ed
Download Statistics Made Simple Do It Yourself On Pc 2nd Ed full books in PDF, epub, and Kindle. Read online Statistics Made Simple Do It Yourself On Pc 2nd Ed ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Statistics Made Simple Do It Yourself On Pc 2Nd Ed. by : Sarma
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.
Book Synopsis Statistics Made Simple by : K. V. S. Sarma
Download or read book Statistics Made Simple written by K. V. S. Sarma and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistics is Easy! 2nd Edition by : Dennis Shasha
Download or read book Statistics is Easy! 2nd Edition written by Dennis Shasha and published by Morgan & Claypool Publishers. This book was released on 2010-06-06 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B
Book Synopsis Multivariate Statistics Made Simple by : K V S Sarma
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 236 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.
Book Synopsis Statistics Made Simple by : Homer Thornton Hayslett
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 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.
Book Synopsis DATA ANALYSIS AND BUSINESS MODELLING USING MICROSOFT EXCEL by : Hansa Lysander Manohar
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 2017-03-30 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics written by H.T. Hayslett and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Medical Statistics Made Easy by : Michael Harris
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
Book Synopsis JOB SATISFACTION IN INDUSTRIAL WORKERS - DETERMINANTS AND DIMENSIONS by : Dr. Sudhakar Shivaji Jadhav
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:
Book Synopsis Statistics is Easy by : Manpreet Singh Katari
Download or read book Statistics is Easy written by Manpreet Singh Katari and published by Morgan & Claypool Publishers. This book was released on 2021-04-08 with total page 76 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.
Book Synopsis Indian National Bibliography by : B. S. Kesavan
Download or read book Indian National Bibliography written by B. S. Kesavan and published by . This book was released on 2010 with total page 1916 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introductory Statistics with R by : Peter Dalgaard
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.
Book Synopsis All of Statistics by : Larry Wasserman
Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
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.
Book Synopsis Naked Statistics: Stripping the Dread from the Data by : Charles Wheelan
Download or read book Naked Statistics: Stripping the Dread from the Data written by Charles Wheelan and published by W. W. Norton & Company. This book was released on 2013-01-07 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Book Synopsis An Introduction to Statistical Learning by : Gareth James
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.
