Welcome to the topic of continuous quality improvement (CQI)! This video course, CQI: Statistics, is meant to explain how statistics can be analyzed and used for improving workplace processes. This video lesson, Standard Deviation in Normal Data Sets, is the third of five. From it, the viewer will learn about variance, how to calculate standard deviation, the implication of sigma levels, and what these metrics mean for CQI in the workplace.
Overview
COURSE DIFFICULTY
COURSE DURATION
8m
Skills Learned
After completing this online training course, students will be able to:
Analyze the concept of standard deviation in normal data sets
Apply statistical methods to evaluate quality improvement initiatives
Interpret data distributions and their implications for quality control
Utilize standard deviation to identify variations in processes
Quality Improvement Professionals, Data Analysts, Process Improvement Managers, Healthcare Practitioners
Completion of Part 2 of the Continuous Quality Improvement: Statistics Course
01. Introduction to Standard Deviation
02. Understanding Normal Data Sets
03. Applications of Standard Deviation in Quality Improvement
04. Case Studies and Practical Examples
05. Summary and Key Takeaways
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Analyze the concept of standard deviation in normal data sets
Apply statistical methods to evaluate quality improvement initiatives
Interpret data distributions and their implications for quality control
Utilize standard deviation to identify variations in processes
WHO SHOULD ATTEND
Quality Improvement Professionals, Data Analysts, Process Improvement Managers, Healthcare Practitioners
PREREQUISITES
Completion of Part 2 of the Continuous Quality Improvement: Statistics Course
COURSE OUTLINE
01. Introduction to Standard Deviation
02. Understanding Normal Data Sets
03. Applications of Standard Deviation in Quality Improvement
04. Case Studies and Practical Examples
05. Summary and Key Takeaways
