Home | Amazing | Today | Tags | Publishers | Years | Account | Search
The Analyst Application
This guide will show you how to use the Analyst Application to perform such tasks as table analysis, ANOVA, repeated measurements, mixed models, basic power computations, and much more.

Discover how to perform statistical analysis using the Analyst Application, a point-and-click interface to basic statistical analysis in SAS. The
...
Levine's Guide to SPSS for Analysis of Variance: Second Edition
In the decade since the publication of the first edition of this guide (Levine, 1991), and despite the development of several more specialized statistical techniques, analysis of variance (ANOVA) continues to be the workhorse for many behavioral science researchers. This guide provides instructions and examples for running analyses of variance, as...
Mastering Julia

#### Key Features

• Build statistical models with linear regression and analysis of variance (ANOVA)
• Create your own modules and contribute to the Julia package system
• Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization

#### ...

 Beginning R: An Introduction to Statistical Programming Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed... Performing Data Analysis Using IBM SPSS Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®   Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,... Foundational and Applied Statistics for Biologists Using R Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...
 JMP for Basic Univariate and Multivariate Statistics: A Step-by-step GuideDoing statistics in JMP has never been easier! Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide. Clearly written instructions guide you through the basic concepts of research and... Statistics in a Nutshell Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college... Statistics for Linguistics with R: A Practical Introduction (Mouton Textbook) This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical...
 Smoothing Spline ANOVA Models (Springer Series in Statistics) Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of... R For Dummies Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples,... Beginning R: An Introduction to Statistical Programming Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,...
Result Page: 3 2 1