Larry Hatcher's Step-by-Step Basic Statistics Using SAS: Student Guide first introduces you to SAS software, then leads you through a variety of elementary statistical analyses that are commonly used in the social and behavioral sciences. With SAS, you can focus more on conceptual issues in statistical analysis and less on the mechanics of performing mathematical operations by hand. Main topics include how to use the SAS windowing environment to write and submit SAS programs; how to create SAS data sets and modify the variables that they contain; basic descriptive statistics (measures of central tendency and variability, frequency tables, and graphs); correlation and regression; t tests (single-sample, independent and paired samples); analysis of variance (ANOVA), both one-way and factorial; and the chi-square test of independence. Even if you are new to statistics and computers, you soon will be recording research data, writing SAS programs, and interpreting the results. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises.
This book is part of the SAS Press program.
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"I cannot praise this book highly enough. It is indispensable to the beginning student of statistics who will be using SAS. The writing is exceptionally clear and easy to follow, and precise definitions are provided to avoid confusion. Examples are used to illustrate each concept, and those examples are, like everything in this book, clear and logically presented. Sample SAS output is provided for every analysis, with each part labeled and thoroughly explained so the reader understands the results."
Larry Hatcher's Step-by-Step Basic Statistics Using SAS: Student Guide first introduces you to SAS software, then leads you through a variety of elementary statistical analyses that are commonly used in the social and behavioral sciences. With SAS, you can focus more on conceptual issues in statistical analysis and less on the mechanics of performing mathematical operations by hand. Main topics include how to use the SAS windowing environment to write and submit SAS programs; how to create SAS data sets and modify the variables that they contain; basic descriptive statistics (measures of central tendency and variability, frequency tables, and graphs); correlation and regression; t tests (single-sample, independent and paired samples); analysis of variance (ANOVA), both one-way and factorial; and the chi-square test of independence. Even if you are new to statistics and computers, you soon will be recording research data, writing SAS programs, and interpreting the results. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises.
This book is part of the SAS Press program.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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