Education & Seminars
Applied Data Analysis

This is a NEW course!
OBJECTIVES
This course covers the following key topics:
Review of Control Charts in Excel
Descriptive Statistics and Central Limit Theorem (CLT)
Sample Size Determination
Creating Confidence Intervals for both variables and attributes data
Process Capability (Cp & Cpk) and Yield Studies
Correlation and Regression techniques in Excell
Use of ANOVA for Basic Design of Experiments
Download brochure (pdf)

WHO SHOULD ATTEND This course is intended for those involved in design, test, analysis, or manufacturing who want a better understanding of advanced problem solving tools. Disciplines include Process Engineers, Quality Engineers, Manufacturing Engineers, Electronic Engineers, Scientists and Researchers, Managers and Directors.

COURSE OVERVIEW
- This course provides a useful set of statistical tools for both manufacturing operations, and analytical tools for Research. Many Excel examples are provided so that participants walk away with hands-on statistical techniques for key product and process parameters. The course provides review of Central Limit Theorem and Control Charts, but quickly jumps into descriptive statistics and confidence interval generation. Course includes design and analysis of test data, plus sample size determination.
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OUTLINE
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- INTRODUCTION: LEARNING OBJECTIVES
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- REVIEW - CONTROL CHARTS IN EXCEL
Variable Controls Attribute Controls Pareto Charts
- DESCRIPTIVE STATISTICS
Measure of Central Tendency Measures of Variation Variance and Co-Variance (CV)
- CREATING CONFIDENCE INTERVALS (CI) IN EXCEL
CI for Variable Data (Mean)
CI for Attributes Data (Proportion)
Sample Size Determination for Means and Proportions
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- PROCESS CAPABILITY STUDIES
Transforming Control Data to Capability
Interpretation of Cp and Cpk
Yield Determination
Attribute Proportional Testing
- HYPOTHESIS TESTING METHOD IN EXCEL
Hypothesis Testing Overview
Yield Determination using "Z" statistical tests
Testing means from a population to a sample - z test
Tests for Paired Observations and "t" Test for Two Populations
Attribute Test for Two Proportions
- CORRELATION AND REGRESSION IN EXCEL
Overview
Excel Exercise
Filling Non-Linear
Interpretation
- USING ANOVA FOR BASIC DESIGN OF EXPERIMENTS
Use Excel to test two sample variances (F Test)
Steps in Designing an Experiment
One-Way Single Factor ANOVA (2 or more variables)
Two-Way ANOVA (2 or more variables at 2 or more levels)
- APPENDIX
Terms and Definitions
Formula Summary
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