Course Outline

Chapter One

Descriptive Statistics and Graphical Analysis

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• Types of Data
• Using Graphs to Analyze Data
• Using Statistics to Analyze Data

Chapter Two

Statistical Inference

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• Fundamentals of Statistical Inference
• Sampling Distributions
• Normal Distribution

Chapter Three

Hypothesis Tests and Confidence Intervals

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• Tests and Confidence Intervals
• 1-Sample t-Test
• 2 Variances Test
• 2-Sample t-Test
• Paired t-Test
• 1 Proportion Test
• 2 Proportions Test
• Chi-Square Test

Chapter Four

Control Charts

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• Statistical Process Control
• Control Charts for Variables Data in Subgroups
• Control Charts for Individual Observations
• Control Charts for Attributes Data

Chapter Five

Process Capability

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• Process Capability for Normal Data
• Capability Indices
• Process Capability for Nonnormal Data

Chapter Six

Analysis of Variance (ANOVA)

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• Fundamentals of ANOVA
• One-Way ANOVA
• Two-Way ANOVA

Chapter Seven

Correlation and Regression

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• Relationship Between Two Quantitative Variables
• Simple Regression

Chapter Eight

Measurement Systems Analysis

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• Fundamentals of Measurement Systems Analysis
• Repeatability and Reproducibility
• Graphical Analysis of a Gage R&R Study
• Variation
• ANOVA with a Gage R&R Study
• Gage Linearity and Bias Study
• Attribute Agreement Analysis

Chapter Nine

Design of Experiments

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• Factorial Designs
• Blocking and Incorporating Center Points
• Fractional Factorial Designs
• Response Optimization