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.
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
Base SAS;SAS/STAT;SAS Enterprise Guide
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 methodsDescriptive Statistics
describing your data
measures of location
percentiles
measures of variabilityPicturing Your Data
picturing your data: histogram
normal distribution
assessing normality
measures of shape: skewness
measures of shape: kurtosis
normal probability plots
box plots
comparing distributionsConfidence Intervals for the Mean
point estimators, variability, and standard error
distribution of sample means
interval estimators
confidence intervals
normality and the central limit theoremHypothesis Testing
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
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.
