nonparametric statistics a step by step approach

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Nonparametric Statistics

Author : Gregory W. Corder
ISBN : 9781118840429
Genre : Mathematics
File Size : 66. 16 MB
Format : PDF, ePub
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“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

Nonparametric Statistics For Non Statisticians

Author : Gregory W. Corder
ISBN : 9781118211250
Genre : Mathematics
File Size : 51. 94 MB
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Data Analysis In Business Research

Author : D Israel
ISBN : 9788178298757
Genre : Social Science
File Size : 37. 17 MB
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While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business Research: A Step by Step Nonparametric Approach brings under one umbrella all the major nonparametric statistical tools that can be used by undergraduate and postgraduate students of all disciplines, especially students of Research Methods in Social Sciences and Management Studies, in their dissertation work. Students face difficulty in analyzing data collected from small samples; they end up reporting mere percentage analysis which results in the loss of information collected. Hence there is a need to create awareness among students and researchers about the application of major nonparametric tools that can be applied confidently without worrying about sample size, scale of measurement, normality assumptions or other parameters of that nature. The lucid presentation of the step-by-step procedures, explaining in simple English how to perform each of the major nonparametric tests, is a major attraction of the book. The book, which also has a comprehensive question bank, assumes minimal or little knowledge of statistics on the part of the reader. This book will also be informative for Marketing Research professionals and organisations, consultancies and organisations of economic research.

Elementary Statistics A Step By Step Approach

Author : CTI Reviews
ISBN : 9781497044579
Genre : Education
File Size : 56. 74 MB
Format : PDF
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Facts101 is your complete guide to Elementary Statistics, A Step By Step Approach. In this book, you will learn topics such as Data Description, Probability and Counting Rules, Discrete Probability Distributions, and The Normal Distribution plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Elementary Statistics

Author : Allan G. Bluman
ISBN : 0072549149
Genre : Statistics
File Size : 49. 23 MB
Format : PDF, Kindle
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Elementary Statistics Step By Step Approach

Author : CTI Reviews
ISBN : 9781619068001
Genre : Education
File Size : 50. 65 MB
Format : PDF, Docs
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Facts101 is your complete guide to Elementary Statistics , Step by Step Approach. In this book, you will learn topics such as Data Description, Probability and Counting Rules, Discrete Probability Distributions, and The Normal Distribution plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Nonparametric Methods In Statistics With Sas Applications

Author : Olga Korosteleva
ISBN : 9781466580633
Genre : Mathematics
File Size : 43. 35 MB
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Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the author’s many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author’s website.

Study Guide For Use With Elementary Statistics

Author : Allan G. Bluman
ISBN : 0072549114
Genre : Business & Economics
File Size : 53. 27 MB
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Elementary Statistics is geared toward students who do not have a strong mathematics background and have completed at least high school algebra. This book uses a nontheoretical approach in which concepts are explained intuitively and are supported by examples. There are no formal proofs in this book. The statistical applications are drawn from various disciplines, including natural sciences, social sciences, business, economics, and computer science.

Taking The Fear Out Of Data Analysis

Author : Adamantios Diamantopoulos
ISBN : 1861524307
Genre : Business & Economics
File Size : 47. 1 MB
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This work guides the reader through the process of data analysis and features hints and warnings. It should be of interest to those studying quantitative methods in all disciplines, in particular marketing, management, economics and psychology.

Vital Statistics E Book

Author : Stephen McKenzie
ISBN : 9780729581493
Genre : Medical
File Size : 46. 41 MB
Format : PDF, Kindle
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Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

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