Basic Descriptive Statistics and Inference
This course focuses on the following key areas: examining distributions, hypothesis testing, and simple inference for categorical and continuous data. You learn to describe data using univariate statistics, construct graphs to explore and summarize data, assess the normality of data, test hypothesis, use chi-square statistics to detect associations among categorical variables, use correlation statistics to quantify the relationship between two continuous variables and perform t-tests to compare means.
Who should attend
This one-day course is designed for anyone who needs to do basic statistical exploratory analysis and statistical inference using SAS.
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Prerequisites
Before attending this course, you should be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the
SAS Programming I: Essentials course.
Course Contents
Examining distributions
- Descriptive statistics - measures of location and dispersion
- Graphical displays of distributions
- The normal distribution
Hypothesis Testing
- Terminology
- Types of errors
- P-values
Simple Inference for Categorical Data
- Describing categorical data
- Measures of association
Simple Inference for Continuous Data
- Describing continuous data
- Measures of correlation
- T-tests - paired and two-sample
Software
This course addresses SAS/STAT.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Course fee and EPTO units will differ for on-site training.
This page was created using SAS software.