# 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 number: 1

» Design and Analysis of Experiments » Split Plot Design and Strip Plot Design

Appeared in Year: 2013

### Describe in Detail

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.

### 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

## Question number: 2

» Design and Analysis of Experiments » Split Plot Design and Strip Plot Design

Appeared in Year: 2009

### Describe in Detail

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.

### 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

## Question number: 3

» Design and Analysis of Experiments » Split Plot Design and Strip Plot Design

Appeared in Year: 2014

### Describe in Detail

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

### 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,