A Course in Experimental Design
41 videos • 340 views • by Kevin S. McCarter, Ph.D.
This podcast presents a course in Experimental Design.
1
Introduction to Experimental Design
Kevin S. McCarter, Ph.D.
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2
Review of the General Principles of Hypothesis Testing
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3
Using ANOVA to Compare the Means of Two or More Populations
Kevin S. McCarter, Ph.D.
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4
Following Up an ANOVA with Specific Comparisons
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5
The Power Function and the Operating Characteristic Function - Definitions and Concepts
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6
The Power Function and the Operating Characteristic Function - Applications and Examples
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7
The Completely Randomized Design (CRD)
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8
Analysis of Data from the Completely Randomized Design
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9
Estimation in the Completely Randomized Design
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10
Custom Hypothesis Tests in the Completely Randomized Design
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11
Fixed Effects Models and Random Effects Models in the Completely Randomized
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12
Analysis of Data from a Random-Effects Model in a Completely Randomized Design
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13
Dealing with Heterogeneity in Experimental Units - The Randomized Complete Block Design
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14
The Randomized Complete Block Design - An Overview
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15
Analysis of Variance for the Randomized Complete Block Design
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16
Analysis of Data from a Randomized Complete Block Design - Example 3.1
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17
Relative Efficiency of the Randomized Complete Block Design in a Given Experimental Situation
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18
Estimation in the Randomized Complete Block Design - Point Estimation of Individual Treatment Means
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19
Estimation of Differences Between Two Treatment Means
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20
Estimation of Contrasts of Two or More Treatment Means
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21
Estimation of Non-Contrast Linear Combinations of One or More Treatment Means
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22
Confidence Interval Estimation of Individual Treatment Means
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23
Custom Hypothesis Tests in the Randomized Complete Block Design
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24
The Latin Square Design - An Overview
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25
Analysis of Data from the Latin Square Design
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26
ANOVA for a Latin Square Design - Example 4.1
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27
Evaluating the Effectiveness of the Latin Square Design
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28
Estimation in the Latin Square Design
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29
Estimation in the Latin Square Design - Example 4.3
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30
Custom Hypothesis Tests in the Latin Square Design
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31
Custom Hypothesis Tests in the Latin Square Design - Example 4.4
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32
Complete-Factorial Treatment Structures - Introduction
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33
Two-Factor Complete-Factorial Treatment Structures
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34
2x2 Complete-Factorial Treatment Structures - Example 5.1
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35
2x2 Complete-Factorial Treatment Structures - Example 5.2
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36
2x2 Complete-Factorial Treatment Structures - Example 5.3
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37
Statistical Models Incorporating Complete-Factorial Treatment Structures
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38
Analysis of Data for Complete-Factorial Treatment Structures
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39
Determining F-Statistics - Complete-Factorial Treatment Structures
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40
ANOVA for a Two-Factor Complete-Factorial Treatment Structure - Example 5.4
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41
ANOVA for a Complete-Factorial Treatment Structure - Example 5.5
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