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ICAR JRF Agricultural Statistics 29 Jun 2024Shift 1
MCQ (Single Correct) +4 −1
Consider a $2^4$ factorial experiment with two blocks within a replication, laid out in two replications with partial confounding (0 and 1 denote factor levels):

Replication I - Block 1Replication I - Block 2Replication II - Block 1Replication II - Block 2
0000000100000010
0011001000010011
0101010001100100
0110011101110101
1001100010101000
1010101110111001
1100110111001110
1111111011011111
The interactions confounded are:
  • Identifying Confounded Factorial Interactions from Layout:
  • In a $2^4$ factorial experiment with 2 blocks per replication, the interaction confounded corresponds to the defining contrast linear combination $L = \sum \alpha_i x_i \pmod 2$.
  • Replication I Analysis:
  • Check Block 1 treatments: 0000, 0011, 0101, 0110, 1001, 1010, 1100, 1111.
  • Sum of all four coordinates: $L = x_1 + x_2 + x_3 + x_4 \pmod 2$.
  • $0+0+0+0 = 0$
  • $0+0+1+1 = 0$
  • $0+1+0+1 = 0$
  • $0+1+1+0 = 0$
  • $1+0+0+1 = 0$
  • $1+0+1+0 = 0$
  • $1+1+0+0 = 0$
  • $1+1+1+1 = 0$
  • All units in Block 1 yield $L \equiv 0 \pmod 2$, whereas units in Block 2 yield $L \equiv 1 \pmod 2$. Thus, ABCD is confounded in Replication I.
  • Replication II Analysis:
  • Check Block 1 treatments: 0000, 0001, 0110, 0111, 1010, 1011, 1100, 1101.
  • Sum of first three coordinates: $L = x_1 + x_2 + x_3 \pmod 2$.
  • All units in Block 1 yield $x_1 + x_2 + x_3 \equiv 0 \pmod 2$, whereas units in Block 2 yield $x_1 + x_2 + x_3 \equiv 1 \pmod 2$.
  • Thus, ABC is confounded in Replication II.
  • Conclusion: ABCD in Replication I and ABC in Replication II (Option 4).

Correct option: (4) ABCD in Replication | and ABC in Replication II

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