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"Ops A La Carte did an excellent job teaching a private two-day reliability seminar for our team. We learned a lot and would certainly use them again."
---Isaac Ohel, VP Engineering, Novera Optics
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EDUCATION on the best tools for Reliability Engineering.

INTEGRATION of all Elements of Reliability Programs for Maximum Value.

Public and In-House Courses presented by world-class instructors directly in Silicon Valley.

education roadEducation & Seminars
Applied Data Analysis

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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

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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.

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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
INTRODUCTION: LEARNING OBJECTIVES
REVIEW - CONTROL CHARTS IN EXCEL
arrow Variable Controls
arrow Attribute Controls
arrow Pareto Charts
DESCRIPTIVE STATISTICS
arrow Measure of Central Tendency
arrow Measures of Variation
arrow Variance and Co-Variance (CV)
CREATING CONFIDENCE INTERVALS (CI) IN EXCEL
arrow CI for Variable Data (Mean)
arrow CI for Attributes Data (Proportion)
arrow Sample Size Determination for Means and Proportions
PROCESS CAPABILITY STUDIES
arrow Transforming Control Data to Capability
arrow Interpretation of Cp and Cpk
arrow Yield Determination
arrow Attribute Proportional Testing
HYPOTHESIS TESTING METHOD IN EXCEL
arrow Hypothesis Testing Overview
arrow Yield Determination using "Z" statistical tests
arrow Testing means from a population to a sample - z test
arrow Tests for Paired Observations and "t" Test for Two Populations
arrow Attribute Test for Two Proportions
CORRELATION AND REGRESSION IN EXCEL
arrow Overview
arrow Excel Exercise
arrow Filling Non-Linear
arrow Interpretation
USING ANOVA FOR BASIC DESIGN OF EXPERIMENTS
arrow Use Excel to test two sample variances (F Test)
arrow Steps in Designing an Experiment
arrow One-Way Single Factor ANOVA (2 or more variables)
arrow Two-Way ANOVA (2 or more variables at 2 or more levels)
APPENDIX
arrow Terms and Definitions
arrow Formula Summary

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