Design and Analysis of Experiments-Split Plot Design and Strip Plot Design [ISS (Statistical Services) Statistics Paper IV]: Questions 1 - 3 of 3

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Question 1

Appeared in Year: 2013

Describe in Detail Subjective▾

Explain split-plot designs. Considering main plot treatment α , sub-plot treatment β and the number of replications in the RBD for main plot treatments be r, write the ANOVA table of main plot totals.

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Explanation

Split-plot Designs:

The split plot is a design which involves assigning the levels of one factor to large plots and then assigning the levels of a second factor to subplots within each main plot.

The Larger plots are called main plots or whole plots and the factor levels allotted to the main plots are called main plot treatments.

The smaller plots wit…

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Question 2

Appeared in Year: 2009

Describe in Detail Subjective▾

What is a split plot design? Give an example of a situation where this is a natural choice. Outline the analysis of data from a split-plot experiment where the main plots form the randomized block.

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Explanation

Plot Design:

A split plot design is a design with at least one blocking factor where the experimental units within each block are assigned to the treatment factor levels and also blocks are assigned at random to the levels of a further treatment factor. So there are two levels of experimental units.

Whole plots is the name for blocks and subplots or …

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Question 3

Appeared in Year: 2014

Describe in Detail Subjective▾

What do you understand by a split-plot design? When will such a design be adopted? Distinguish it from a usual confounded factorial experiment.

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Explanation

Split-plot Designs:

The split plot is a design, which involves assigning the levels of one factor to large plots and then assigning the levels of a second factor to subplots within each main plot. Split plot designs have a nested blocking structure i.e.. plots are nested within whole plots, which may be nested within blocks.

The Larger plots are call…

… (361 more words) …