Learn how to gauge and measure performance using descriptive statistics. In this video, Dr. Richard Chua demonstrates how to define, calculate and interpret measures of dispersion and central tendency. He covers mean, median, modes, range, variation, and standard deviation.
- If and when I decide to train for a triathlon…I want to gauge or measure my performance…early on to get a baseline so I know how much…I improve as my training progresses.…When I swim, bike or run I want to know…my average times as well as…my slowest and fastest times.…These are statistics that describe…and summarize my performance.…Similarly, in the Six Sigma projects…descriptive statistics are used to set a baseline…and track performance.…
There are two types of descriptive statistics,…measures of central tendency and measures…of spread or dispersion.…Let's talk about measures of…central tendency first.…These measures summarize where the values…in a set of data are centered.…These include the mean, median and mode.…The mean is simply the average.…For example, if these are seven delivery times…then the mean is the sum of all these values…divided by seven.…
Using this calculation the mean is 22 hours.…Sometimes the mean is not always a good…measure of central tendency, especially if…there are outliers such as the number…
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