Learn the usefulness of confidence intervals in your Six Sigma project during this video.
- Let's say you're interested in determining the mean height…of the employees in your company,…but there are 500 employees.…It's not practical to measure every one of them.…So, you take a sample of 20 employees…and find that the sample mean is 69.87 inches.…How confident are you in saying that the population mean…is exactly 69.87 inches?…You probably have a zero percent confidence level.…Now, how confident will you be in saying…that an interval of zero to 100 inches…includes the population mean?…Now you're probably 100% confident.…
But having a 100% confidence level…with such a wide interval is not useful.…That interval is called the confidence interval,…which is a statistically calculated range of values…that contains a population parameter, such as the mean,…with a certain level of confidence.…It's most commonly set at 95%.…Here is a graphical summary of the sample data…for mean height using Minitab.…You can see the sample size is 20…along with all the summary statistics.…
The sample mean is 69.871.…The 95% confidence interval for the mean is 69.036…
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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