# Six Sigma Black Belt: Using Basic Statistics and Graphical Methods

Everyone
• 8 videos | 1h 24m 41s
Rating 4.3 of 118 users (118)
Organizations must ensure that their products and services are extremely consistent to desired specifications, as variations can lead to rejected orders, reworks, and eventually, customer dissatisfaction and financial losses. Statistics can provide Black Belts with the tools to summarize and assess collected data in a meaningful way for identifying sources of variation and controlling them. Black Belts can use descriptive (enumerative) statistics to tabulate and graphically represent sample data through a number of informative charts and diagrams. Using analytical (inferential) statistics, supported by the central limit theorem, Black Belts can confidently make inferences, test the statistical validity of their inferences, and optimize and control processes. This course provides Black Belts with basic statistical tools for describing, presenting, and analyzing data. It explores the process of preparing and presenting sample data using graphical methods and then making valid inferences about the population represented by the sample. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Match measures of central tendency to their characteristic advantages and limitations, and calculate measures of dispersion in a given scenario
Recognize how to set class intervals for frequency distributions, and construct a cumulative frequency diagram in a given scenario
Predict and interpret the histogram shape that would result from a given frequency distribution, and recognize how to use normal probability plots to determine whether data is normally distributed
Identify statements that reflect correct interpretations of a complex box plot, and identify the best interpretation of a given run chart
• Recognize how to use a scatter plot to find the optimum target value and tolerance zones for a process parameter
Recognize the significance of central limit theorem in the application of hypothesis tests
recognize the significance of the central limit theorem for inferential statistics
Match tools for drawing valid statistical conclusions to descriptions of their use

## IN THIS COURSE

• After completing this video, you will be able to discover the key concepts that will be covered in this course.
• After completing this video, you will be able to match measures of central tendency to their characteristic advantages and limitations and calculate measures of dispersion in a given scenario
• 3.  Frequency Distributions and Cumulative Frequency
After completing this video, you will be able to recognize how to set class intervals for frequency distributions and construct a cumulative frequency diagram in a given scenario
• 4.  Histograms and Probability Plots
After completing this video, you will be able to predict and interpret the histogram shape that would result from a given frequency distribution and recognize how to use normal probability plots to determine whether data is normally distributed
• 5.  Bar Charts, Box Plots, and Run Charts
After completing this video, you will be able to identify statements that reflect correct interpretations of a complex box plot and identify the best interpretation of a given run chart
• 6.  Scatter Diagrams and Process Parameters
After completing this video, you will be able to recognize how to use a scatter plot to find the optimum target value and tolerance zones for a process parameter
• 7.  Statistics and the Central Limit Theorem
After completing this video, you will be able to recognize the significance of the central limit theorem for inferential statistics and recognize the significance of central limit theorem in the application of hypothesis tests
• 8.  Tools for Reaching Valid Statistical Conclusions
After completing this video, you will be able to match tools for drawing valid statistical conclusions to descriptions of their use

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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