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Wednesday, August 5, 2020 | History

2 edition of Nonparametric and shortcut statistics in the social, biological and medical sciences found in the catalog.

Nonparametric and shortcut statistics in the social, biological and medical sciences

Merle W. Tate

Nonparametric and shortcut statistics in the social, biological and medical sciences

by Merle W. Tate

  • 3 Want to read
  • 39 Currently reading

Published by Interstate in Danville, Ill .
Written in English


Edition Notes

StatementMerle W. Tate, Richard C. Clelland.
ContributionsClelland, Richard C.
The Physical Object
Paginationix, 171p. :
Number of Pages171
ID Numbers
Open LibraryOL13834595M

  The Kolmogorov-Smirnoff nonparametric test was used to analyze whether the differences between the actual and the (median) database-expected survival shown in Table 1 were statistically significant. Given that there were 14 separate categories of solid tumor types for analysis, another risk factor quantified was odds of survival, defined as the.   The importance of nonparametric methods in modern statistics hasgrown dramatically since their inception in the ing few or no assumptions about the populations from whichdata are obtained, they have emerged as the preferred methodologyamong statisticians and researchers performing data , these highly efficient techniques are being applied to Reviews: 1.

  SCHOOL OF PUBLIC HEALTH BIOSTATISTICS Detailed course offerings (Time Schedule) are available for. Summer Quarter ; Autumn Quarter ; BIOST Lectures in Applied Statistics (1) NW Weekly lectures illustrating the importance of statisticians in a variety of fields, including medicine and the biological, physical, and social sciences. Credit/no-credit only. This book comprehensively covers all the methods of parametric and nonparametric statistics such as correlation and regression, analysis of variance, test construction, one-sample test to k-sample tests, etc. The two methods of statistics are presented simultaneously, with indication of their use in data analysis.

Today, these highly efficient techniques are being applied to an ever–widening variety of experimental designs in the social, behavioral, biological, and physical sciences. This long–awaited Second Edition of Myles Hollander and Douglas A. Wolfe?s successful Nonparametric Statistical Methods meets the needs of a new generation of users.   COLLEGE OF ARTS & SCIENCES STATISTICS Detailed course offerings (Time Schedule) are available for. Summer Quarter ; Autumn Quarter ; STAT Numbers and Reason (5) QSR Surveys the standard ways in which "arithmetic turns into understanding" across examples from the natural and the social sciences. Main concepts include abduction (inference to .


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Nonparametric and shortcut statistics in the social, biological and medical sciences by Merle W. Tate Download PDF EPUB FB2

Nonparametric and shortcut statistics in the social, biological, and medical sciences. Nonparametric and shortcut statistics in the social Danville, Ill., Interstate Printers and Publishers [©] (OCoLC) Document Type: Book: All Authors / Contributors: Merle Wesley Tate; Richard C Clelland.

Nonparametric Statistics for Health Care Research: Dr. Pett has a strong commitment to facilitating the practical application of statistics in the social, behavioral, and biological sciences, especially among practitioners in health care settings.

In order to navigate out of this carousel please use your heading shortcut key to navigate Cited by: Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

This supplemental text is intended for: Upper-level undergraduate and graduate students majoring in the biological sciences, specifically Cited by: Author(s): Tate,Merle Wesley,; Clelland,Richard C Title(s): Nonparametric and shortcut statistics in the social, biological, and medical sciences[by] Merle W.

Tate [and] Richard C. Clelland. Abstract. Nonparametric statistics provide a useful purpose for inferential analyses when data: (1) do not meet the purported precision of an interval scale, (2) there are serious concerns about extreme deviation from normal distribution, and (3) there is considerable difference in the number of subjects for each breakout : Thomas W.

MacFarland, Jan M. Yates. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences.

Purchase Statistical Methods in Biological and Medical Sciences, Volume 8 - 1st Edition. Print Book & E-Book. ISBNFollowing an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly.

A statistical method is called non-parametric if it makes no assumption on the population distribution or sample size.

This is in contrast with most parametric methods in elementary statistics. Nonparametric Statistics. The term "parametric" is intended to refer to statistical tests that make assumptions about particular population parameters (e.g., equal variances in two groups in the population) or use particular distributions for making statistical decisions (e.g., use of the -tdistribution).

The term "nonparametr ic" is. Description: Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures.

It also demonstrates practical applications of the most common nonparametric procedures using IBM's SPSS software. The importance of nonparametric methods in modern statistics hasgrown dramatically since their inception in the ing few or no assumptions about the populations from whichdata are obtained, they have emerged as the preferred methodologyamong statisticians and researchers performing datathese highly efficient techniques are being applied to anever-widening variety of experimental designs.

Pett has a strong commitment to facilitating the practical application of statistics in the social, behavioral, and biological sciences, especially among practitioners in health care settings.

She has designed and taught graduate courses to students from a variety of disciplines at the beginning and advanced levels, including research Reviews: 2. This book will help the reader select and interpret the most appropriate statistical tests to enable the effective assessment of a particular intervention.

Beginning with a general overview of nonparametric statistics, Majorie A Pett reviews statistical hypothesis testing and the characteristics of data. She then explores "goodness of fit" tests, tests for two related samples, repeated. brief account of many of the modern topics in nonparametric inference.

The book is aimed at master’s-level or Ph.D.-level statistics and computer science students. It is also suitable for researchers in statistics, machine learn-ing and data mining who want to get up to speed quickly on modern non-parametric methods.

Buy Nonparametric Statistics for Health Care Research: Statistics for Small Samples and Unusual Distributions Second by Pett, Marjorie (Marg) A.

(ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible s: 2. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences.

For courses in Introductory Statistics Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life.

Through these examples and a friendly writing style, the 2nd Edition ensures that you understand concepts and develop skills in critical. Non Parametric. Introduction to Nonparametric Regression by Kunio Takezawa; Applied Nonparametric Statistical Methods, Third Edition by Peter Sprent Nigel Charles Smeeton (Online Only, UC Only) Nonparametric Statistics for the Behavioral Sciences.

This chapter discusses the statistical methods for combining the results of studies in the social and behavioral sciences. Much of the recent impetus for work in this area stems from the early work of Glass and the growing body of literature in this subject.

InGlass distinguished types of statistical analyses in the social sciences. For additional information about this book including how to purchase please visit the book web site. CHANCE magazine: Chance is a magazine about statistics and the use of statistics in society.

Chance features articles that showcase the use of statistical methods and ideas in the social, biological, physical, and medical sciences.Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and.3.

Tate, M. W., and Clelland, R. C., Non Parametric and Shortcut Statistics in the Social, Biological and Medical Sciences, (Interstate, Danville, ).

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