Content Outline
Quality Trainer contains the following chapters and sections.
Descriptive Statistics and Graphical Analysis
Types of Data, Using Graphs to Analyze Data, Using Statistics to Analyze Data
Statistical Inference
Fundamentals of Statistical Inference, Sampling Distributions, Normal Distribution
Hypothesis Tests and Confidence Intervals
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
Control Charts
Statistical Process Control, Control Charts for Variables Data in Subgroups, Control Charts for Individual Observations, Control Charts for Attributes Data
Process Capability
Process Capability for Normal Data, Capability Indices, Process Capability for Nonnormal Data
Analysis of Variance (ANOVA)
Fundamentals of ANOVA, One-Way ANOVA, Two-Way ANOVA
Correlation and Regression
Relationship Between Two Quantitative Variables, Simple Regression
Measurement Systems Analysis
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
Design of Experiments
Factorial Designs, Blocking and Incorporating Center Points, Fractional Factorial Designs, Response Optimization
Glossary
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