'Experimentwise error' presentation slideshows

Experimentwise error - PowerPoint PPT Presentation

Experimental Design and the Analysis of Variance

Experimental Design and the Analysis of Variance

Experimental Design and the Analysis of Variance. Comparing t > 2 Groups - Numeric Responses. Extension of Methods used to Compare 2 Groups Independent Samples and Paired Data Designs Normal and non-normal data distributions. Completely Randomized Design (CRD).

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950 views • 80 slides
EXPERIMENTAL DESIGN

EXPERIMENTAL DESIGN

EXPERIMENTAL DESIGN. Random assignment Who gets assigned to what? How does it work What are limits to its efficacy?. RANDOM ASSIGNMENT. Equal probability of assignment to each condition (treatment, control, etc.) or fixed, known probability if other design conditions are included

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454 views • 35 slides
Comparing Three or More Groups: Multiple Comparisons vs Planned Comparisons Robert Boudreau, PhD

Comparing Three or More Groups: Multiple Comparisons vs Planned Comparisons Robert Boudreau, PhD

Comparing Three or More Groups: Multiple Comparisons vs Planned Comparisons Robert Boudreau, PhD Co-Director of Methodology Core PITT-Multidisciplinary Clinical Research Center for Rheumatic and Musculoskeletal Diseases. First a simple thought experiment.

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467 views • 34 slides
Analysis of Variance and Multiple Comparisons

Analysis of Variance and Multiple Comparisons

Analysis of Variance and Multiple Comparisons. Comparing more than two means and figuring out which are different. Analysis of Variance (ANOVA). Despite the name, the procedures compares the means of two or more groups Null hypothesis is that the group means are all equal

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334 views • 20 slides
Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). ANOVA methods are widely used for comparing 2 or more population means from populations that are approximately normal in distribution. ANOVA data can be graphically displayed with dot plots for small data sets and box plots for medium to large data sets .

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382 views • 18 slides
Multiple Comparisons: Example

Multiple Comparisons: Example

Multiple Comparisons: Example. Study Objective: Test the effect of six varieties of wheat to a particular race of stem rust. Treatment: Wheat Variety Levels: A(i=1), B (i=2), C (i=3), D (i=4), E (i=5), F (i=6) Experimental Unit: Pot of well mixed potting soil.

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406 views • 17 slides
Multiple comparisons

Multiple comparisons

Multiple comparisons. What do we do with a significant F ratio?. A priori (planned) comparisons. A priori comparisons are planned before the data are collected.

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814 views • 13 slides

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