Learn how to use statistical analysis to answer questions of practical importance. In this video, Dr. Richard Chua introduces to a framework for hypothesis testing.
- The purpose of statistical analysis…is to answer questions of practical importance.…For example, is the problem system-wide,…or is it specific to certain locations?…Is there a logical sequence…to apply hypothesis testing in practical terms?…Let's take a look at a framework for hypothesis testing.…First, start with a practical theory to be tested,…and translate from practical terms into statistical terms.…
For example, we have five offices…processing loan applications.…The practical theory is that the problem…of long processing times is unique to some office location.…Second, state the statistical hypotheses,…the null hypothesis, H-zero,…and the alternate hypothesis HA.…In our example, the null hypothesis H-zero…is population means of processing times…of offices are all equal, as seen here,…where mu is the mean processing time.…
Alternate hypothesis, HA,…population means of processing times…of offices are not all equal.…At least one office has a different mean processing time.…Written as, not all mus are equal.…
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