Learn how to select which statistical test to use for hypothesis testing to prove your theories. This video offers a hypothesis testing road map to guide you through this process during Six Sigma projects.
- Let's say your project has selected theories to be tested.…For each theory, you might be wondering…which statistical test should be used…to prove or disprove the axis.…To help with this, let's take a look at a road map…to guide you through the maze of options…that can be used during hypothesis testing.…Remember, the types of data of the X and the Y…drive the selection of the statistical test,…and data types can either be continuous or discrete.…
For example, in testing for differences…in mean processing times of different offices,…Y is the processing time and it is continuous data.…X is the office, office A, B, C, and D,…and X is discrete, or categorical, data.…Remember that categorical is a more…contemporary term than discrete data.…Here's a road map, or matrix, that can…guide you in selecting the correct statistical test.…
You can also download this from…the exercise files for future reference.…Let's start in the top left quadrant.…If they Y is continuous and the X is discrete,…graphs such as histograms, box plots, and dot plots…
Dr. Richard Chua builds upon his Six Sigma: Green Belt, Six Sigma Foundations, and Learning Minitab courses—which are prerequisites to this course—and covers an array of topics, including measurement system analysis, hypothesis testing, response surface methods, displaying improved process capabilities, and more.
- Process flow metrics
- Measurement system analysis
- Calculating process capability
- Hypothesis testing
- Confidence intervals
- Testing for normality
- Designing, conducting, and analyzing full-factorial experiments
- Using fractional factorial experiments for screening
- Displaying improved process capability
Skill Level Intermediate
1. Define Phase
Overview of the Define phase3m 51s
2. Measure Phase
3. Analyze Phase
4. Improve Phase
5. Control Phase
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