In this video, learn to determine sample sizes for estimating means and proportions when conducting a Six Sigma project.
- In the measure phase of a Six Sigma project,…the project team needs to collect data…to measure the baseline performance of Y.…Since it's not always possible to measure every item…in the population, samples are collected.…So you might be wondering, "How do you sample?"…And, "How much do you sample?"…How to sample is called sampling strategy,…which I cover in other Six Sigma courses.…How much to sample brings us to the question:…what should be the sample size?…The sample size determination depends…on whether the type of data to be collected…is continuous or discrete.…
If the type of data is continuous,…you probably need to sample from the process…to estimate the mean, such as the mean processing time…of invoices.…Here is a sample size to estimate the mean…with 95% confidence.…Where Z is from the normal distribution,…and 1.96 is the Z value for a 95% confidence level.…And S is a standard deviation, and D is the precision.…So how precise do you want the estimate to be?…If you want the estimate to be accurate…within plus, minus five minutes,…
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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