Although the examples are related to the medical and biology fields, researchers in other fields such as psychology or education will find this book helpful.
#SAS STATISTICAL SOFTWARE T TEST HOW TO#
This book leads you step-by-step through each of the statistical tests with numerous screen shots, and you will see how to read and interpret all of the output generated by these tests.Įxperience with some basic statistical tests used to analyze medical data or classroom experience in biostatistics or statistics is required. For two-sample tests and N-way tests, nonparametric tests are also described. You want to know whether the mean petal length of iris flowers differs. It is often used in hypothesis testing to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another. The inferential statistics portion of the book covers the following topics:īesides describing each of these statistical tests, the book also discusses the assumptions that need to be met before running and interpreting these tests. A t-test is a statistical test that is used to compare the means of two groups. You will also be able to use SAS Studio statistics tasks to generate descriptive statistics for continuous and categorical data. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition.Īfter reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn how to create them from various data sources. Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks.Īimed specifically at the health sciences, Biostatistics by Example Using SAS Studio, provides an introduction to SAS Studio tasks.
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