Process Analysis and Documentation
March 23, 2022you will be able to
April 13, 2022
Hypotheses tests are statistical methods of making decisions on the results of a study to
determine if the results are truly related, or if they occur by chance. Hypotheses tests differ in
the results they produce and what information is required, but they all share some basic terms
and concepts.
By the end of this course, you will be able to
• Define and distinguish between statistical significance and practical significance
• Apply tests for significance level, power, and type I and type II errors
• Define null and alternative hypotheses
• List acceptable null and alternative hypotheses for statistical parameters
• Determine appropriate sample size for various tests
• Define confidence levels and confidence intervals
• Calculate confidence intervals for population parameters
Course ID Number: SIX-3017