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MiC Quality                      :: PRIMER IN STATISTICS 
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Welcome to the MiC Quality Primer in Statistics. The objectives of the Primer are:

  • to give you statistical and graphical tools that will help you improve your processes

  • to encourage you to take a 'process perspective' to help make your processes efficient and effective

  • to give you a solid understanding that will prepare you for further study

This course will give you the statistical tools you need for the Six Sigma Green Belt level. Our Advanced Statistics course covers the statistics tools needed at the Six Sigma Black Belt level. All our other courses cover many analytical methods involved in Six Sigma.

When you successfully complete this course you will receive a Certificate of Completion. If you wish, we will mail you a personally signed copy of the certificate and a pocket-size printed version of the Reference Booklet.

This courses includes unlimited email support, do not hesitate to ask any questions about the material, or how to apply it.

DOWNLOAD Course Reference Booklet in PDF format

IMPORTANT
Our courses make frequent use of practical examples implemented in Excel spreadsheets. If you are not familiar with using Excel for statistical analysis, please complete our free MiC Quality Excel Primer. If you are using Microsoft Internet Explorer please fix your settings to ensure that spreadsheets open in a separate window in Excel, and you are able to run macros.


::  C O U R S E   M O D U L E S



:: INTRODUCTION TO STATISTICS

  Objectives and Contents
The Mean
Interpreting the Mean
The Median
The Mode
The Simulation Exercise
Statistics and Parameters
Frequency Histograms
Histograms in Excel
Stem and Leaf Plots
Histogram Exercise
Process Variation
The Variance
Understanding Variance
Standard Deviation
Standard Deviation Exercise
Introduction to Statistics Exercises

:: THE NORMAL DISTRIBUTION

  Objectives and Contents
The Vials Filling Simulation
The Histograms
Calculating Proportions
The Continuous Distribution
Normal Distribution
Calculating Area
Using Tables
The Normal Distribution Calculator
Why Normal?
Descriptive and Inferential Statistics
The Spacers Exercise
Normal Distribution Exercises

:: BOX PLOTS, QUARTILES & PERCENTILES

  Objectives and Contents
Box Plots
Calculating the Quartiles
Box Plots for Comparison
Grouped Data
Mean and Standard Deviation of Grouped Data
Cumulative Frequency
Percentiles
Percentiles and Grouped Data
Box Plots, Quartiles & Percentiles Exercises
 
:: PROCESS IMPROVEMENT

  Objectives and Contents
The Process Perspective
Flow Charts
Sampling
Collecting Data (check sheets)
Pareto Charts
Cause and Effect Diagrams
Run Charts
Interpreting Run Charts
Soluble Coating Case Study
Cusum Charts
Common and Special Cause Variation
Control Charts
Monitoring Control Charts
Control Chart Exercises
Graphs
Scatter Graphs
Correlation
Interactions
Multi-Vari Charts
Multi-Vari Chart Exercises
Measurement Scales


:: RANGE AND STANDARD DEVIATION

  Objectives and Contents
Range and Standard Deviation
Application of the Range Method
Range Method Example Gage R&R Study


:: TESTING FOR NORMALITY

  Objectives and Contents
Testing for Normality
The Normal Probability Plot
Normal Probability Plot of Non-Normal Data
Points off the Distribution
How Normal Probability Plots Work
Creating Normal Probability Plots Using Excel and Minitab
Testing for Normality Exercise
::Instructions for Using Excel  
 
 
  :: S T A R T   Next Objectives and Contents
 
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