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- Applied Statistics and the SAS Programming Language (5th Edition)
- Applied Statistics And The Sas Programming Language 5th Edition Solutions
- Applied Statistics and the SAS Programming Language (5th Edition) PDF
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View larger. Request a copy. Download instructor resources. Additional order info. Buy this product. K educators : This link is for individuals purchasing with credit cards or PayPal only. Suitable for use by departments ranging from statistics and Engineering to Psychology and Education when the objective of the course is to learn to use the SAS programming language to perform statistical analysis.
NEW — Doubled the Number of Problems — featuring half with answers in text and half with answers available to the instructor on the Prentice Hall website. Note: All chapters open with an Introduction. Describing Data. More Descriptive Statistics. Descriptive Statistics Broken Down by Subgroups. Frequency Distributions.
Bar Graphs. Plotting Data. Questionnaire Design and Analysis. Adding Variable Labels. Recoding Data. Using a Format to Recode a Variable.
Two-way Frequency Tables. Computing Chi-square from Frequency Counts. Computing the Kappa Statistics Coefficient of Agreement. Odds Ratios. Relative Risk. Chi-square Test for Trend. Generalizing the Program for a Variable Number of Questions. Test Reliability. Interrater Reliability. List Input: Data values separated by spaces. Column Input. Pointers and Informats. Reading Data from Multiple Files using wildcards. Part I. Functions Other Than Character Functions. Substring Example. Doing the Previous Example Another Way.
Unpacking a String. Parsing a String. Substituting One Character for Another. Substituting One Word for Another in a String.
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You have successfully signed out and will be required to sign back in should you need to download more resources. Ron P. Cody Jeffrey K. Description Suitable for use by departments ranging from statistics and Engineering to Psychology and Education when the objective of the course is to learn to use the SAS programming language to perform statistical analysis.
Using examples from business, medicine, education, psychology, and other disciplines, Applied Statistics and the SAS Programming Language is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. New to This Edition. Table of Contents Note: All chapters open with an Introduction. Enhancing the Program. SAS Procedures.
Syntax of SAS Procedures. Comment Statements. Chapter 2: Describing Data Describing Data. Longitudinal Data. Selecting the First or Last Visit per Patient.
Computing Frequencies on Longitudinal Data Sets. Outputting Statistics Other Than Means. Chapter 5: Correlation and Simple Regression Correlation. Significance of a Correlation Coefficient. How to Interpret a Correlation Coefficient. Partial Correlations. Linear Regression. Partitioning the Total Sum of Squares. Producing a Scatter Plot and the Regression Line. Adding a Quadratic Term to the Regression Equation.
Transforming Data. Random Assignment of Subjects. One-tailed versus Two-tailed Tests. Paired T-tests Related Samples. Computing Contrasts. Analysis of Variance: Two Independent Variables. Interpreting Significant Interactions. N-way Factorial Designs. Analysis of Covariance. Nonexperimental Regression. Stepwise and Other Variable Selection Methods. Creating and Using Dummy Variables. Logistic Regression. Principal Components Analysis. Oblique Rotations.
Using Communalities Other Than One. How to Reverse Item Scores. Reading Comma-delimited Data. Informat Lists. Suppressing the Error Messages for Invalid Data. Working with Large Data Sets. Temporary Arrays. Using a Temporary Array to Score a Test. Specifying Array Bounds. Temporary Arrays and Array Bounds. Implicitly Subscripted Arrays. Random Number Functions. Time and Date Functions. Working with Blanks.
Applied Statistics and the SAS Programming Language (5th Edition)
It seems that you're in Germany. We have a dedicated site for Germany. Authors: Marasinghe , Mervyn G. This book is an integrated treatment of applied statistical methods, presented at an intermediate level, and the SAS programming language. It serves as an advanced introduction to SAS as well as how to use SAS for the analysis of data arising from many different experimental and observational studies. While there are many introductory texts on SAS programming, statistical methods texts that solely make use of SAS as the software of choice for the analysis of data are rare.
Applied Statistics And The Sas Programming Language 5th Edition Solutions
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Many of the books have web pages associated with them that have the data files for the book and web pages showing how to perform the analyses from the book using packages like SAS, Stata, SPSS, etc. Please see our Textbook Examples page. Box, William G.
This Book have some digitalformats such us : kindle, epub, ebook, paperbook, and another formats. Luz Gamiz, K.
Applied Statistics and the SAS Programming Language (5th Edition) PDF
Using current examples from business, medicine, education, and psychology, Applied Statistics and the SAS Programming Language is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Provides readers with ample models for developing programming skills. Applied Statistics and the SAS Programming Language is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. Convert currency. Add to Basket.
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