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 Conceptsdescriptive 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 Statisticsdescribing your data measures of location percentiles measures of variabilityPicturing Your Datapicturing 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 Meanpoint estimators, variability, and standard error distribution of sample means interval estimators confidence intervals normality and the central limit theoremHypothesis Testingdecision-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.
