You've collected informative data, but now what? It’s nearly impossible to control processes—let along improve them—without the application of statistical tools. Statistical process control may seem intimidating, but it doesn’t have to be. This course will help you understand the powerful statistical tools that are required, and be able to use them to make the most of your organizational processes.

In Implementing Statistical Process Control, learn ways to control your processes and thus ensure that they meet established performance criteria. Discover different ways to plot data using control charts that are appropriate to the type of data you want to examine. Understand the different types of control charts. Be able to determine which control charts are most appropriate in which situations and with which kinds of data sets.

Can you comprehend all of the questions related to process performance that require comparisons between two or more sets of data? (For example: How much difference is there between the cholesterol levels for patients on the new drug compared to those on the current drug?) In Understanding and Performing Hypothesis Testing, we introduce methods by which two or more sets of data can be compared to determine whether or not there are significant differences between them.

Hypothesis testing is imperative if you're going to use data to improve process performance. This course explains hypothesis testing, its tools, and how to employ it in your process assessments and measurements.

CEUs: 4.0
Number of Days: 5