Six Sigma Statistics and Graphical Presentation
Six Sigma Green Belt
| Intermediate
- 13 Videos | 41m 11s
- 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 statisticsrecognize the implications of the central limit theorem for inferential statisticsdistinguish between tools for inferential statisticscalculate measures of central tendencycalculate measures of dispersioninterpret a given frequency distribution table
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identify the purpose of calculating cumulative frequency distributiondistinguish between correlation patterns in a scatter plotidentify characteristics of normal probability plotsrecognize attributes of a process given a histograminterpret a given stem-and-leaf plotidentify the types of information box-and-whisker plots can be used to graphically illustrate
IN THIS COURSE
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1.Six Sigma Statistics and Graphical Presentation42sUP NEXT
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2.Descriptive and Inferential Statistics4m 10s
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3.Central Limit Theorem2m 43s
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4.Tools Used for Inferential Statistics2m 34s
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5.Measures of Central Tendency4m 48s
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6.Measures of Dispersion5m 34s
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7.Frequency Distribution Table3m 8s
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8.Cumulative Frequency Distribution1m 48s
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9.Scatter Diagrams4m 13s
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10.Normal Probability Plots2m 57s
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11.Histograms3m 29s
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12.Stem-and-leaf Plots2m 38s
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13.Box-and-whisker Plots2m 29s
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