SSC CGL Tier II (JSO) 4 March 2023 Paper

Question : 22 of 100

Marks: +1, -0

For a completely randomised design with a total of k treatments. let x_ij : i^th observation corresponding to of j^th treatment, i = 1, 2, ..... n_j, j = 1, 2, ......, k T : total of all observations, x̅_j : mean of i^th treatment, x̅ :

\;{T}/{N}

where

N = Σ _{j = 1}^{k}n_{j}

. The sum of squares due to treatments (SST) can be calculated by using the formula:

$Σ _{j = 1}^{k}Σ _{i = 1}^{n_{j}}(x_{ij}−x↖{¯}↙{j}2^{undefined}.$
$Σ _{j = 1}^{k}Σ _{i = 1}^{n_{j}}(x_{ij}−x↖{{¯}2}↙{undefined}.$
$Σ _{j = 1}^{k}(x↖{¯}↙{j}−x↖{¯})$
$Σ _{j = 1}^{k}n_{j}(x↖{¯}↙{j}−x↖{{¯}2}↙{undefined}.$

Validate

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