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OBJECTIVES AND CONTENTS Primer in Statistics

  PROCESS IMPROVEMENT AND SIX SIGMA
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Welcome to MiC Quality
Online Course Instructor
Glen Netherwood
MiC Quality
Online Learning
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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 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



:: REPRESENTING DATA

  Objectives and Contents
XY Graphs
The Regression Equation
Scatter Graphs
Correlation
Regression with Excel
Box Plots
Calculating the Quartiles
Box Plots for Comparison
Grouped Data
Cumulative Frequency
Percentiles
Pareto Charts
Stem and Leaf Plots
Multi-Vari Charts
Multi-Vari Charts Examples
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
Normal Distribution Exercises


:: 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 Minitab
Testing for Normality Exercise


:: HYPOTHESIS TESTING

  Objectives and Contents
The Testing Process
Sample Averages
Confidence Intervals
Hypothesis Tests
The Null Hypothesis
The p-Value
Interpreting the Test Results
One & Two sided Tests
Exercises
Using 'z' values
Type I & II Errors and Power
Deciding on the Sample Size
Other Types of Hypothesis Test
Exercises

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