Notes and labs from SAS Introduction to Statistical Concepts -- STAT0
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 SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a Case Study are included.
- examining data distributions
- obtaining and interpreting sample statistics using the UNIVARIATE and MEANS procedures
- examining data distributions graphically in the UNIVARIATE and SGPLOT procedures
- constructing confidence intervals
- performing simple tests of hypothesis.
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
Descriptive Statistics
- describing your data
- measures of location
- percentiles
- measures of variability
Picturing Your Data
- picturing your data: histogram
- normal distribution
- assessing normality
- measures of shape: skewness
- measures of shape: kurtosis
- normal probability plots
- box plots
- comparing distributions Confidence Intervals for the Mean
- point estimators, variability, and standard error
- distribution of sample means
- interval estimators
- confidence intervals
- normality and the central limit theorem
Hypothesis 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
https://support.sas.com/edu/schedules.html?ctry=us&crs=STAT0#s1=1