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Designing experiments - keeping it simple
Quantitative Methods Designing experiments - keeping it simple
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Replication Randomisation Blocking
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Design and analysis Replication Degrees of freedom
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Replication Randomisation Blocking
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Unit Tr RandTr 1 A 2 A 3 A 4 A 5 B 6 B 7 B 8 B 9 C 10 C 11 C 12 C 13 D 14 D 15 D 16 D sample 16 Tr RandTr
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Unit Tr RandTr 1 A C 2 A B 3 A D 4 A B 5 B B 6 B A 7 B D 8 B A 9 C D 10 C B 11 C A 12 C C 13 D C 14 D D 15 D C 16 D A sample 16 Tr RandTr
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Design and analysis Replication Randomisation Degrees of freedom Valid estimate of EMS
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Design and analysis Replication Randomisation Degrees of freedom Valid estimate of EMS
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Replication Randomisation Blocking
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design
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Three principles of experimental design
Designing experiments - keeping it simple Three principles of experimental design Design and analysis Replication Randomisation Blocking Degrees of freedom Valid estimate of EMS Elimination
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN BEAN BLOCK
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN BEAN BLOCK So the fitted value for a plot in Block 2 planted with bean variety 6 is
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN BEAN BLOCK So the fitted value for a plot in Block 2 planted with bean variety 6 is
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN BEAN BLOCK So the fitted value for a plot in Block 2 planted with bean variety 6 is
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN BEAN BLOCK So the fitted value for a plot in Block 2 planted with bean variety 6 is ( )
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Fitted values and models
Designing experiments - keeping it simple Fitted values and models Term Coef Constant BLOCK BEAN BEAN BLOCK So the fitted value for a plot in Block 2 planted with bean variety 6 is ( ) = Advantages of mean and differences
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Designing experiments - keeping it simple
Orthogonality
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Designing experiments - keeping it simple
Orthogonality
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Designing experiments - keeping it simple
Orthogonality
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Designing experiments - keeping it simple
Orthogonality
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Designing experiments - keeping it simple
Orthogonality
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Designing experiments - keeping it simple
Orthogonality
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Design and analysis Orthogonality Replication Randomisation Blocking
Designing experiments - keeping it simple Orthogonality Design and analysis Replication Randomisation Blocking Orthogonality Degrees of freedom Valid estimate of EMS Elimination Seq=Adj SS
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Next week: Combining continuous and categorical variables
Designing experiments - keeping it simple Last words… Experiments should be designed and not just happen Think about reducing error variation and replication: enough separate datapoints randomisation: avoid bias and give separateness blocking: managing the unavoidable error variation The statistical ideas we’ve been learning so far in the course help us to understand experimental design and analysis Next week: Combining continuous and categorical variables Read Chapter 6
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