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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition
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简体网页||繁体网页
O'Rourke, Norm/ Hatcher, Larry/ Stepanksi, Edward J., Ph.d. 作者
Sas Inst
译者
2005-5 出版日期
548 页数
$ 79.04 价格
Pap
丛书系列
9781590474174 图书编码

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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 著者简介

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 图书目录

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition 在线电子书 图书描述

Updated for SAS 9, A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition, is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences. Providing practice data inspired by actual studies, this book teaches you how to choose the right statistic, understand the assumptions underlying the procedure, prepare the SAS program for the analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association. Step by step, authors Norm O'Rourke, Larry Hatcher, and Edward Stepanski demonstrate how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests for independent samples and paired samples, ANOVA and MANOVA, multiple regression, principal component analysis, and assessing scale reliability with coefficient alpha. This text is ideally suited to students who are beginning their study of data analysis, and to professors and researchers who want a handy reference on their bookshelf.

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