Learn the basics of hypothesis testing, including significance level, and type I and II errors. In this video, Dr. Richard Chua introduces null and alternate hypotheses, alpha and significance levels, and p-values.
- At the beginning of the analyze phase,…the project team generates theories…on potential causes or actions that impact Y.…Brainstorming is used, and these theories are organized…and displayed using a cause effect or fishbone diagram.…If you're not familiar with cause effect diagrams,…I recommend reviewing Six Sigma Fundamentals.…Using the collective knowledge and experience…of the project team, subject matter experts…and the various stakeholders, the most likely theories…are selected from the cause effect diagram,…then the selected theories will be tested…to determine the causes or key axes that impact Y.…
We use a data-driven method called hypothesis testing.…Hypothesis testing is often referred to…as the scientific method.…A theory or hypothesis is proposed and data is used…to run a statistical test to prove or disprove that theory.…Hypothesis testing is set up as a pair of statements,…a null hypothesis and an alternate hypothesis.…The null hypothesis is no difference between groups…and the alternate hypothesis is…
Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
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- Six Sigma and the organization
- Collecting the voice of the customer
- Project management basics
- Process maps
- Sampling in data collection
- Measurement system analysis
- Measuring performance using descriptive statistics
- Process performance measures
- Hypothesis testing
- Testing for means, variances, proportions, and independence
- Correlation and regression
- Using selection matrices
- Using failure modes and effects analysis
- Developing control plans
- Statistical process control