Introduction to Statistical Concepts
STAT0 : ESTAT0R
This course covers basic statistical concepts that are critical for understanding and using statistical methods. This course explains what statistics is and why it is important to understand the characteristics of your data.
The information in this course is a prerequisite for many other statistical courses that SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a case study are included.
The information in this course is a prerequisite for many other statistical courses that SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a case study are included.
Learn How To
- examine data distributions
- obtain and interpret sample statistics using the UNIVARIATE and MEANS procedures
- examine data distributions graphically in the UNIVARIATE and SGPLOT procedures
- construct confidence intervals
- perform simple tests of hypothesis.
Who Should Attend
Anyone who wants to learn the basics of statistics
Prerequisites
There are no formal prerequisites for this course.
SAS Products Covered
SAS Enterprise Guide;SAS/STAT;Base SAS
Course Outline
Basic Statistical Concepts
- descriptive and inferential statistics
- populations and samples
- parameters and statistics
- uses of variables: independent and dependent
- types of variables: quantitative and categorical
- scales of measurement (nominal, ordinal, interval, and ratio)
- statistical methods
- describing your data
- measures of location
- percentiles
- measures of variability
- picturing your data: histogram
- normal distribution
- assessing normality
- measures of shape: skewness
- measures of shape: kurtosis
- normal probability plots
- box plots
- comparing distributions
- point estimators, variability, and standard error
- distribution of sample means
- interval estimators
- confidence intervals
- normality and the central limit theorem
- decision-making process
- steps in hypothesis testing
- types of errors and power
- the p-value, effect size, and sample size
- statistical hypothesis test
- the t statistic, t distribution, and two-sided t-test
Live Class Schedule
Duration: 6 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.