SITEMAP UPDATES ABOUT
MiC Quality

OBJECTIVES AND CONTENTS Primer in Statistics

  PROCESS IMPROVEMENT AND SIX SIGMA
ONLINE COURSES FREE TRIAL SIX SIGMA FAQ BROCHURES LICENSES ENROLL
FREE TRIAL
:: Online Courses
:: Free Trial
>> Statistics Module
>> Excel Primer
:: Six Sigma
:: FAQ
:: Brochures
:: Licenses
:: Discounts
 
Welcome to MiC Quality
Online Course Instructor
Glen Netherwood
MiC Quality
Online Learning
:: Home :: FREE TRIAL :: CURRENT STUDENTS LOGIN

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 more 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. This course 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
Mean
Understanding the Mean
Median
Mode
Salinity Exercise
Statistics and Parameters
Process Variation
Frequency Histograms
Creating Histograms
Histograms in Excel
Excel Chart
Histogram Exercise
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

::

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`


:: REPRESENTING DATA

  Objectives and Contents
Box Plots
Calculating the Quartiles
Box Plots for Comparison
Mean of Grouped Data
Standard Deviation of Grouped Data
Cumulative Frequency
Percentiles
Percentiles and Grouped Data
Stem and Leaf Plots
Exercises

:: 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
How Normal Probability Plots Works
Using z-Scores
The Probability Plot
Normal Probability Plots of Non-Normal Data
Points off the distribution
Creating Normal Probability Plots Using Mintab
Testing for Normality Exercise
 
 
Copyright 1998-2008 MiC Quality Legal Notices and Privacy Policy