Agricultural Statistics- ICAR JRF/SRF 2024
Official ICAR JRF/SRF 2024 solved question paper with verified bilingual step-by-step solutions.
Q.101
Based on past experience, it is known that standard deviation of weight of one year old rohu fish is 25 g. If it is decided to
estimate mean weight within 5 units of true value in either direction with confidence coefficient of 0.95 (note that the standard
normal variate Z takes the value 1.96 ~ 2 approximately, at this 95% confidence level), then if the sampling is done with
SRSWR and that the finite population correction is ignored, the required sample size is approximately
Q.102
Consider the following statements:
(A) . Suppose the N units of a population are numbered 4 to N in some order. Suppose further that N is expressible as a
product of two integers n and k such that N = nk. Select a number between 1 to k. Suppose it is i (this i can be any of
numbers 1, 2, ..., k). Select the first unit, whose serial number is i. Select every k-th unit thereafter till the required sample
size of nis taken. Then the last unit will be i + (k-1) n fori=1, 2, ..., 0
(B) . Suppose the N units of a population are numbered 1 to N in some order. Suppose further that N is expressible as a
product of two integers n and k such that N = nk. Select a number between 1 to k. Suppose it is i (this i can be any of
numbers 1, 2, ..., k). Select the first unit, whose serial number is i. Select every k-th unit thereafter till the required sample
size of nis taken. Thus there are k possible systematic samples. In other words, a systematic sample is a simple random
sampling of one cluster unit from a population of k cluster units each of size n.
(C) . Higher heterogeneity within the units of a systematic sample makes the mean estimator more efficient.
(D) . Systematic sampling is more efficient than Simple Random Sampling (SRS) if the variation within the units in the
systematic sample is less than the variation within the units of the SRS sample
Choose the correct answer from the options given below:
Q.103
A medical device manufacturer produces vascular grafts using a randomized block design (RBD) with 4 extrusion pressure levels and 6 resin batches (blocks). The percentage of non-defective tubes is tabulated below with one missing observation $x$:
Pressure | R1 | R2 | R3 | R4 | R5 | R6 | Treatment Total | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| T1 | 90.3 | 89.2 | 98.2 | 93.9 | 87.4 | 97.9 | 556.9 | ||||||||
| T2 | 92.5 | 89.5 | 90.6 | 94.7 | 87.0 | 95.8 | 550.1 | ||||||||
| T3 | 85.5 | 90.8 | 89.6 | 86.2 | 88.0 | 93.4 | 533.5 | ||||||||
| T4 | 82.5 | 89.5 | 85.6 | 87.4 | 78.9 | $x$ | $423.9 + x$ | ||||||||
| Block Total | 350.8 | 359.0 | 364.0 | 362.2 | 341.3 | $287.1 + x$ | $2064.4 + x$ |
Q.104
A varietal trial on Wheat crop was conducted using a two-associate Partially Balanced Incomplete Block Design (PBIBD) with parameters $v = b = 9; r = k = 3; \lambda_1 = 1; \lambda_2 = 0; n_1 = 6; n_2 = 2$. In such a two-association scheme, the values of $p_{jk}^i$ written as matrices $P^1$ and $P^2$ are:
Q.105
An experiment was conducted using Randomized Block Design with 5 treatments and 4 replications and the ANOVA table is given below:
Source | Sum of Squares | Mean Sum of Squares | |||
|---|---|---|---|---|---|
| Blocks | 60 | 20 | |||
| Treatments | 1000 | 250 | |||
| Error | 216 | 18 | |||
| Total | 1276 |
Design of Experiments
4 Topics
Linear Estimation, Gauss-Markov Theorem & Basic Experimental Designs (CRD, RCBD, Latin Square Design)
Active
Factorial Experiments (2^n, 3^n Series), Complete & Partial Confounding Mechanics
Incomplete Block Designs: Balanced Incomplete Block Designs (BIBD), PBIBD & Lattice Designs
Split-Plot, Strip-Plot, Crossover Designs & Analysis of Covariance (ANCOVA)
General Agriculture
5 TopicsSample Surveys
3 TopicsStatistical Genetics
3 Topics
Population Genetics: Hardy-Weinberg Equilibrium, Selection, Mutation, Migration & Inbreeding Coefficients
Quantitative Genetics: Variance Partitioning, Heritability, Repeatability, Path Analysis & Selection Indices
Mendelian Genetics, Linkage Estimation, Recombination Frequencies & Three-Point Test Cross Mapping
Statistical Methods I
3 TopicsStatistical Methods II
3 Topics
Multivariate Analysis (Wishart, Hotelling T2, MANOVA, PCA, Factor & Cluster Analysis) & Linear Programming Optimization
Hypothesis Testing: Neyman-Pearson Fundamental Lemma, UMP Tests, Likelihood Ratio Tests (LRT) & Non-Parametric Tests
Correlation, Multiple/Partial Regression, Collinearity Diagnostics & Econometric Residual Analysis
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2024
29-06-2024