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An Introduction to the Design of Experiments | |
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Introduction | |
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The Use of Designed Experiments in Process Studies | |
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Fundamental Aspects of Designed Experiments | |
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Documentation Form for a Designed Experiment | |
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Summary | |
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References | |
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Exercises | |
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Investigating a Single Factor: Completely Randomized Experiments | |
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Introduction and Graphical Analysis of Sample Data | |
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The Analysis of Variance Approach: Partitioning the Total Variation in the Data | |
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Analysis of Variance for a Fixed Effects Model | |
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Analysis of Variance for a Random Effects Model | |
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Methods for Multiple Comparisons | |
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Tukey's Method for Multiple Comparisons | |
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Scheffeacute;'s Method for Multiple Comparisons | |
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Potential Consequences of Violating Analysis of Variance Assumptions | |
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The Use of P-values in Testing Statistical Hypotheses | |
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Summary | |
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References | |
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Exercises | |
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Introduction to and Computer Instructions for Using Minitab, Release 15 | |
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Investigating a Single Factor: Randomized Complete and Incomplete Block and Latin Square Designs | |
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Introduction | |
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Analysis of Variance for Blocked Data: Partitioning the Total Variation in the Data | |
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Assumptions and Validity of Analysis of Variance for Randomized Complete Block Designs | |
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Tukey and Scheffeacute;'s Procedures for a Randomized Complete Block Design | |
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Balanced Incomplete Block Designs | |
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Latin Square Designs | |
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Analysis of Variance for Latin Square Designs: Partitioning the Total Variation in the Data | |
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Assumptions and Validity of the Analysis of Variance for Latin Square Designs | |
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Summary | |
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References | |
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Exercises | |
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Minitab Instructions | |
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Factorial Experiments: Completely Randomized Designs | |
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Introduction | |
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Inference Objectives in Factorial Experiments: Main Effects and Interaction Effects | |
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Complete Randomization in Factorial Experiments | |
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Graphical Analysis | |
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Analysis of Variance Procedure: Partitioning the Total Sum of Squares | |
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No Replication in Factorial Experiments | |
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Fixed, Random, and Mixed Models: Expected Mean Squares | |