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ASRB NET and ARS Mathematics & Statistics for Dairy Science: practice questions

ASRB NET and ARS: dairy disciplines · India · Agricultural Scientists Recruitment Board (ICAR)

Original practice questions written to the published syllabus · not past papers
6worked here, free
28written to this exam in this subject
5syllabus units

What this subject covers

The calculus, differential equations and statistics that dairy engineering problems, kinetics and quality control need.

In the exams: Supports numerical items across ICAR AICE subject 38 (Dairy Engineering) and GATE XL-U Section 4; statistics recurs in ASRB NET dairy disciplines and in quality-control units

Where the 28 questions fall

How our questions for ASRB NET and ARS spread across the units of Mathematics & Statistics for Dairy Science. Difficulty: 10 easy, 17 medium, 1 hard.

Tests of significance: t, chi-square and F8
Analysis of variance and basic experimental designs8
Descriptive statistics and probability distributions5
Sampling theory and confidence intervals4
Correlation and regression3

6 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Descriptive statistics and probability distributions · medium

Five fat tests read 3.2, 3.4, 3.6, 3.8 and 4.0%. What is the sample standard deviation (divisor n − 1)?

  1. 0.316%
  2. 0.283%
  3. 0.632%
  4. 0.100%
Answer and working

A. 0.316%

Deviations −0.4, −0.2, 0, 0.2, 0.4; sum of squares 0.40; variance 0.40/4 = 0.10; s = √0.10 = 0.316%. Dividing by n gives 0.283%; 0.100 is the variance; 0.632 forgets to divide the sum of squares at all.

Further reading: Snedecor and Cochran, Statistical Methods

2 · Sampling theory and confidence intervals · easy

Which sampling method divides farm suppliers into collection routes and samples randomly within each route?

  1. Stratified random sampling
  2. Multistage cluster sampling
  3. Systematic sampling
  4. Convenience sampling
Answer and working

A. Stratified random sampling

Sampling within each defined group (stratum) is stratified sampling. Cluster sampling would select whole routes at random and test all farms in them.

Further reading: Snedecor and Cochran, Statistical Methods

3 · Sampling theory and confidence intervals · easy

If the sample size used for a confidence interval for a mean is increased from 25 to 100, the width of the interval becomes approximately:

  1. One quarter as wide
  2. Half as wide
  3. Twice as wide
  4. Unchanged
Answer and working

B. Half as wide

Width is proportional to 1/√n; √(100/25) = 2, so the interval halves. One quarter would need a sixteenfold larger sample.

Further reading: Snedecor and Cochran, Statistical Methods

4 · Sampling theory and confidence intervals · medium

Of 300 farm milk samples, 18 fail an antibiotic screening test. What is the approximate 95% confidence interval for the failure rate?

  1. 5.0% to 7.0%
  2. -40.5% to 52.5%
  3. 3.3% to 8.7%
  4. 3.0% to 9.0%
Answer and working

C. 3.3% to 8.7%

p̂ = 0.06; SE = √(0.06 × 0.94/300) = 0.0137; half-width 1.96 × SE = 0.027, giving 3.3% to 8.7%. Forgetting to divide by n gives an impossible negative lower limit.

Further reading: Snedecor and Cochran, Statistical Methods

5 · Correlation and regression · easy

Pearson's r between two variables is close to zero. Which conclusion is justified?

  1. The two variables are certainly independent, with no relation of any kind
  2. One variable causes a decrease in the other as it increases
  3. There is little linear relation, though a curved relation may still exist
  4. The regression slope must be exactly one, whatever the units
Answer and working

C. There is little linear relation, though a curved relation may still exist

r measures linear association only; a strong U-shaped relation can give r ≈ 0. Zero correlation does not prove independence.

Further reading: Snedecor and Cochran, Statistical Methods

6 · Analysis of variance and basic experimental designs · easy

Fisher's three basic principles of experimental design are:

  1. Randomisation, regression and correlation analysis
  2. Replication, randomisation and local control
  3. Blocking, transformation and extrapolation
  4. Replication, significance and confidence
Answer and working

B. Replication, randomisation and local control

Replication estimates and reduces error, randomisation prevents bias, and local control (blocking) removes known variation.

Further reading: Montgomery, Design and Analysis of Experiments

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Read the subject

Mathematics & Statistics for Dairy ScienceThe full study manual, free ASRB NET and ARSFormat, sections and how it has changed

More ASRB NET and ARS practice

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Mathematics & Statistics for Dairy Science for other exams

ICAR AICE-JRF/SRF · IndiaICAR AIEEA-PG · IndiaGATE · India

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