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, Other Distributions, is the final in a series of five. It explains how to determine and interpret two distributions of yes-no data: the binomial distribution and the Poisson distribution.
Overview
COURSE DIFFICULTY
COURSE DURATION
8m
Skills Learned
After completing this online training course, students will be able to:
Analyze Different Statistical Distributions Relevant to Quality Improvement
Apply Statistical Methods to Real-World Quality Improvement Scenarios
Interpret Data and Draw Conclusions Based on Statistical Results
Utilize Software Tools for Statistical Analysis in Quality Improvement
Communicate Findings Effectively to Stakeholders
Quality Improvement Professionals, Data Analysts, Healthcare Administrators, Quality Assurance Managers, Statisticians
Part 4 of 5 in Continuous Quality Improvement: Statistics, Basic Understanding of Statistics, Familiarity with Quality Improvement Concepts
01. Introduction to Other Statistical Distributions
02. Application of Distributions in Quality Improvement
03. Analyzing and Interpreting Distribution Data
04. Case Studies in Continuous Quality Improvement
05. Tools and Techniques for Statistical Analysis
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Analyze Different Statistical Distributions Relevant to Quality Improvement
Apply Statistical Methods to Real-World Quality Improvement Scenarios
Interpret Data and Draw Conclusions Based on Statistical Results
Utilize Software Tools for Statistical Analysis in Quality Improvement
Communicate Findings Effectively to Stakeholders
WHO SHOULD ATTEND
Quality Improvement Professionals, Data Analysts, Healthcare Administrators, Quality Assurance Managers, Statisticians
PREREQUISITES
Part 4 of 5 in Continuous Quality Improvement: Statistics, Basic Understanding of Statistics, Familiarity with Quality Improvement Concepts
COURSE OUTLINE
01. Introduction to Other Statistical Distributions
02. Application of Distributions in Quality Improvement
03. Analyzing and Interpreting Distribution Data
04. Case Studies in Continuous Quality Improvement
05. Tools and Techniques for Statistical Analysis
