# ISS (Statistical Services) Statistics Paper IV: Questions 54 - 58 of 92

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## Question 54

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Appeared in Year: 2013

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Essay▾

Identify the design given below, whose blocks are:

(1,2, 3,4) ; (2,3, 4,1) and (4,1, 2,3) .

Write its parameters. Suppose a treatment ‘3’ belonging to 3rd row and 4th column is missing. How can you estimate that missing treatment? Estimate that value. Write degrees of freedom for error and total variation.

### Explanation

This is the Randomized block design. (RBD)

Its parameters are t = treatments 4 and Blocks r = blocks = 3

Here i = 1,2, 3,4 and j = 1,2, 3

The method of estimating the missing value :

let us consider the missing value as belonging to 3rd row and 4th column‎

is the total of all available (r-1) observations for ith treatment

is the total of all available&#8230;

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## Question 55

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Appeared in Year: 2009

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Essay▾

Explain the uniformity trials. Discuss their role in picking up a proper design.

### Explanation

Uniformity trials helps to give idea about the fertility variation of the field.

A trial in which the field (experimental material) is divided into small units (plots) and the same treatment is applied on each of the units and their fields are recorded. From these yields, ‘fertility counter map’ is made for graphic picture of the variation of the so&#8230;

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## Question 56

Appeared in Year: 2011

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Essay▾

Discuss missing plot techniques in a RBD. Suppose one observation, say, is missing in one block of a RBD, derive a method to estimate that missing value.

### Explanation

Missing plot techniques in a RBD:

Sometimes observations from one or more experimental units will be missing due to some unavoidable causes. There might be many unforeseen causes, for example, in agricultural experiments damages by pets or in animal experiment any animal may die or the observations from one or more plot is excessively large as compa&#8230;

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## Question 57

Appeared in Year: 2012

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Essay▾

Let four treatments be arranged in three blocks. The arrangement is given below:

Block 1:

Block 2:

Block 3:

Identify the block design. Write its parameters. If the treatment in Block 3 is missing, estimate the missing value. Write its ANOVA table.

### Explanation

This is the Randomized block design. (RBD)

its parameters are t = treatments 4 and Blocks r = blocks = 3

Here i = 1,2, 3,4 and j = 1,2, 3

Let the missing value be in Block 3. ‎

is the total of all available (r-1) observations for ith treatment

is the total of all available (t-1) observations in jth block

is the total of all available (rt -1) observat&#8230;

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## Question 58

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Appeared in Year: 2010

### Describe in Detail

Essay▾

What is confounding in a factorial experiment? Explain why it is necessary. Enumerate the advantages and disadvantages for confounding.

### Explanation

The process by which unimportant comparisons are mixed up with the block comparisons, for assessing more important comparisons with greater precision is called confounding. It is also defined as the technique of reducing the size of a replication over a number of blocks at the cost of losing some information on some effect, which is not of much pra&#8230;

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