Analytics and Improvements Library

Learning Objectives

  • Understand the impact of sample size on analysis
  • Manage rates and frequencies within an analysis
  • Choose appropriate chart type to use in data analysis
  • Avoid statistical bias
  • Recognize the common data distribution shapes
  • Identify the common types of variation within a data distribution
  • Recall the measures of central tendency and when to use them
  • Identify process or system stability using a control chart
  • Interpret boxplots and bubble charts
  • Describe the difference between common cause and special cause variation
  • Build run and control charts
  • Utilize statistical rules to identify special cause variation on a run or control chart
  • Interpret special cause variation using a run or control chart

3 modules | 4 CLUs

Course Description

Use industry best practices to perform basic comparative and descriptive analysis, and leverage run charts and statistical process control charts to understand variation.

Course at a Glance

target audience icon Target Audience:

Data Analysts

time to complete icon Time to Complete:

20-30 Minutes

contributor icon Contributor:

Health Catalyst

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