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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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