Learn how to text Six Sigma projects for differences in means. In this video Dr. Richard Chua show you how to interpret hypotheses tests for comparing means.
- In your Six Sigma projects, you may need…to test for differences in means.…For example, you want to test the theory…that the mean delivery time from one pizza restaurant…is more than 20 minutes, and you are interested in testing…the theory that mean delivery times are different…across restaurants in your pizza chain.…Let's take a look at the tests needed to compare means.…To start, let's compare the mean of one group to a target,…which is also known as the one sample t-test.…
For example, we want to determine if, in the long run,…the mean processing time of group A is…more than the target mean of 20 minutes.…Here's a dot plot of the sample data.…If the data is normal, use a one sample t-test.…A normality test such as the Anderson-Darling test…can be run to determine normality.…The one sample t-test requires normal data.…Here are the generic null and alternate hypotheses when…comparing the population mean of one group to the target.…
If the practical theory is that the mean delivery time…is not equal to 20 minutes, then the null 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