Six Sigma Statistics and Graphical Presentation
Six Sigma Green Belt
| Intermediate
- 13 videos | 40m 54s
- Includes Assessment
- Earns a Badge
- CPE
Basic graphs and tables can be used to summarize and assess business process improvement data in a meaningful way. Lean and Lean Six Sigma practitioners use descriptive statistics to tabulate and graphically represent sample data through a number of types of graphical presentation. Using analytical statistics, practitioners can then make decisions regarding process improvement, process control, and process design. This course will introduce the fundamentals of statistics, including statistical tools for describing, presenting, and analyzing data. It is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
WHAT YOU WILL LEARN
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distinguish between descriptive and inferential statistics
recognize the implications of the central limit theorem for inferential statistics
distinguish between tools for inferential statistics
calculate measures of central tendency
calculate measures of dispersion
interpret a given frequency distribution table -
identify the purpose of calculating cumulative frequency distribution
distinguish between correlation patterns in a scatter plot
identify characteristics of normal probability plots
recognize attributes of a process given a histogram
interpret a given stem-and-leaf plot
identify the types of information box-and-whisker plots can be used to graphically illustrate
IN THIS COURSE
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42s
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4m 10sDuring this video, you will learn how to distinguish between descriptive and inferential statistics. FREE ACCESS
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3. Central Limit Theorem2m 43sDiscover how to recognize the implications of the central limit theorem for statistics used to make inferences. FREE ACCESS
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4. Tools Used for Inferential Statistics2m 34sIn this video, you will learn how to distinguish between tools for inferential statistics. FREE ACCESS
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5. Measures of Central Tendency4m 48sDuring this video, you will learn how to calculate measures of central tendency. FREE ACCESS
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6. Measures of Dispersion5m 34sIn this video, find out how to calculate measures of dispersion. FREE ACCESS
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7. Frequency Distribution Table3m 8sLearn how to interpret a given frequency distribution table. FREE ACCESS
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8. Cumulative Frequency Distribution1m 48sIn this video, you will learn how to identify the purpose of calculating a cumulative frequency distribution. FREE ACCESS
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9. Scatter Diagrams4m 13sDuring this video, you will learn how to distinguish between correlation patterns in a scatter plot. FREE ACCESS
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10. Normal Probability Plots2m 39sDiscover how to identify characteristics of probability plots that are normal. FREE ACCESS
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11. Histograms3m 29sIn this video, you will learn how to recognize attributes of a process from a given histogram. FREE ACCESS
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12. Stem-and-leaf Plots2m 38sDuring this video, you will learn how to interpret a given stem-and-leaf plot. FREE ACCESS
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13. Box-and-whisker Plots2m 29sIn this video, find out how to identify the types of information that box-and-whisker plots can be used to graphically illustrate. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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