# Six Sigma Statistics and Graphical Presentation

Six Sigma Green Belt    |    Intermediate
• 13 videos | 40m 54s
• Includes Assessment
• CPE
Rating 4.2 of 113 users (113)
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

• 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

• During this video, you will learn how to distinguish between descriptive and inferential statistics.
• 3.  Central Limit Theorem
Discover how to recognize the implications of the central limit theorem for statistics used to make inferences.
• 4.  Tools Used for Inferential Statistics
In this video, you will learn how to distinguish between tools for inferential statistics.
• 5.  Measures of Central Tendency
During this video, you will learn how to calculate measures of central tendency.
• 6.  Measures of Dispersion
In this video, find out how to calculate measures of dispersion.
• 7.  Frequency Distribution Table
Learn how to interpret a given frequency distribution table.
• 8.  Cumulative Frequency Distribution
In this video, you will learn how to identify the purpose of calculating a cumulative frequency distribution.
• 9.  Scatter Diagrams
During this video, you will learn how to distinguish between correlation patterns in a scatter plot.
• 10.  Normal Probability Plots
Discover how to identify characteristics of probability plots that are normal.
• 11.  Histograms
In this video, you will learn how to recognize attributes of a process from a given histogram.
• 12.  Stem-and-leaf Plots
During this video, you will learn how to interpret a given stem-and-leaf plot.
• 13.  Box-and-whisker Plots
In this video, find out how to identify the types of information that box-and-whisker plots can be used to graphically illustrate.

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