Statistics Made Simple Do It Yourself On Pc 2Nd Ed.

Statistics Made Simple Do It Yourself On Pc 2Nd Ed.

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  • Author: Sarma
  • Publisher: PHI Learning Pvt. Ltd.
  • ISBN: 8120340175
  • Category : Computers
  • Languages : en
  • Pages : 316

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.


Statistics Made Simple

Statistics Made Simple

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  • Author: K. V. S. Sarma
  • Publisher: PHI Learning Pvt. Ltd.
  • ISBN: 9788120317413
  • Category : Mathematical statistics
  • Languages : en
  • Pages : 272


Multivariate Statistics Made Simple

Multivariate Statistics Made Simple

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  • Author: K V S Sarma
  • Publisher: CRC Press
  • ISBN: 0429877862
  • Category : Mathematics
  • Languages : en
  • Pages : 251

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.


STATISTICS

STATISTICS

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  • Author: NADAR E. NARAYANAN
  • Publisher: PHI Learning Pvt. Ltd.
  • ISBN: 8120350863
  • Category : Mathematics
  • Languages : en
  • Pages : 492

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.


Medical Statistics Made Easy

Medical Statistics Made Easy

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  • Author: Michael Harris
  • Publisher: CRC Press
  • ISBN: 1135322503
  • Category : Medical
  • Languages : en
  • Pages : 127

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


JOB SATISFACTION IN INDUSTRIAL WORKERS - DETERMINANTS AND DIMENSIONS

JOB SATISFACTION IN INDUSTRIAL WORKERS - DETERMINANTS AND DIMENSIONS

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  • Author: Dr. Sudhakar Shivaji Jadhav
  • Publisher: Lulu.com
  • ISBN: 0359997147
  • Category :
  • Languages : en
  • Pages : 228


Statistics is Easy

Statistics is Easy

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  • Author: Manpreet Singh Katari
  • Publisher: Springer Nature
  • ISBN: 3031024338
  • Category : Mathematics
  • Languages : en
  • Pages : 62

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.


DATA ANALYSIS AND BUSINESS MODELLING USING MICROSOFT EXCEL

DATA ANALYSIS AND BUSINESS MODELLING USING MICROSOFT EXCEL

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  • Author: Hansa Lysander Manohar
  • Publisher: PHI Learning Pvt. Ltd.
  • ISBN: 8120352882
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages :


Statistics is Easy! 2nd Edition

Statistics is Easy! 2nd Edition

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  • Author: Dennis Shasha
  • Publisher: Morgan & Claypool Publishers
  • ISBN: 1608455718
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 176

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


Naked Statistics: Stripping the Dread from the Data

Naked Statistics: Stripping the Dread from the Data

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  • Author: Charles Wheelan
  • Publisher: W. W. Norton & Company
  • ISBN: 0393089827
  • Category : Mathematics
  • Languages : en
  • Pages : 320

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.