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ICAR AIEEA-PG Mathematics & Statistics for Dairy Science: practice questions

ICAR AIEEA-PG: Dairy Science (group 16) and Dairy Technology (group 17) · India · NTA for ICAR

Original practice questions written to the published syllabus · not past papers
10worked here, free
42written to this exam in this subject
9syllabus 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 42 questions fall

How our questions for ICAR AIEEA-PG spread across the units of Mathematics & Statistics for Dairy Science. Difficulty: 6 easy, 32 medium, 4 hard.

Ordinary differential equations: first-order kinetics and cooling7
Numerical methods for engineering problems7
Differential and integral calculus6
Matrices and linear equations5
Correlation and regression5
Introduction to response surface methodology for product optimisation5
Sampling theory and confidence intervals4
Descriptive statistics and probability distributions2
Tests of significance: t, chi-square and F1

10 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 · Differential and integral calculus · medium

A pasteuriser holding tube is designed with milk in laminar flow at a mean velocity of 0.5 m/s. At what velocity must the fastest particle be assumed to travel when checking the minimum holding time?

  1. 0.5 m/s
  2. 1.0 m/s
  3. 0.25 m/s
  4. 0.61 m/s
Answer and working

B. 1.0 m/s

In laminar flow u_max = 2 × mean = 1.0 m/s, and the fastest particle receives the shortest holding time. 0.61 m/s corresponds to the turbulent ratio (mean ≈ 0.82 u_max); using the mean 0.5 m/s overestimates the holding time.

Further reading: Singh and Heldman, Introduction to Food Engineering

2 · Differential and integral calculus · medium

In thermal process calculation, the F value of a process is obtained by:

  1. Integrating the lethal rate 10^((T − T_ref)/z) over the heating time
  2. Differentiating the temperature with respect to time at the coldest point
  3. Multiplying the peak temperature (in °C) by the total holding time
  4. Averaging the D values measured at each temperature in the profile
Answer and working

A. Integrating the lethal rate 10^((T − T_ref)/z) over the heating time

F = ∫10^((T − T_ref)/z) dt accumulates lethality minute by minute. Peak temperature × time ignores that lethality rises tenfold for each z degrees.

Further reading: Singh and Heldman, Introduction to Food Engineering

3 · Ordinary differential equations: first-order kinetics and cooling · medium

Vitamin C in a flavoured milk is lost by first-order kinetics with k = 0.05 per day. What is its half-life?

  1. 13.9 days
  2. 20.0 days
  3. 46.1 days
  4. 10.0 days
Answer and working

A. 13.9 days

t½ = ln 2/k = 0.693/0.05 = 13.9 days. 1/k = 20 days is the time constant; 2.303/k = 46.1 days is the time for a tenfold fall (the D value).

Further reading: Singh and Heldman, Introduction to Food Engineering

4 · Ordinary differential equations: first-order kinetics and cooling · medium

Newton's law of cooling, applied as a lumped-capacity model, is reasonable when the Biot number is:

  1. Below about 0.1
  2. Above about 10
  3. Exactly 1, at any size
  4. Between 1 and 5 for liquids
Answer and working

A. Below about 0.1

Bi = hL/k_solid compares internal to surface resistance. Below about 0.1 the internal temperature is nearly uniform, so a single temperature describes the body. Large blocks of butter or cheese have high Bi and need conduction models.

Further reading: Singh and Heldman, Introduction to Food Engineering

5 · Ordinary differential equations: first-order kinetics and cooling · medium

A well-mixed 2,000 litre balance tank is flushed with clean water at 500 litres per minute. What fraction of an initial dissolved residue remains after 12 minutes?

  1. 0.050
  2. 0.250
  3. 0.717
  4. 0.000
Answer and working

A. 0.050

τ = V/q = 2000/500 = 4 min. C/C₀ = e^(−t/τ) = e^(−3) = 0.050. Plug-flow thinking (three tank volumes = empty) gives 0; e^(−4/12) inverts the ratio.

Further reading: Singh and Heldman, Introduction to Food Engineering

6 · Numerical methods for engineering problems · medium

Applying one Newton–Raphson step to f(x) = x³ − 2x − 5 from x₀ = 2 gives:

  1. 2.0
  2. 1.9
  3. 2.1
  4. 2.5
Answer and working

C. 2.1

f(2) = 8 − 4 − 5 = −1; f′(x) = 3x² − 2, so f′(2) = 10. x₁ = 2 − (−1)/10 = 2.1. Sign slips give 1.9.

Further reading: Chapra and Canale, Numerical Methods for Engineers

7 · Numerical methods for engineering problems · hard

Lethal rates logged every 2 min during a heat process are 0.1, 0.6, 0.9, 0.5 and 0.1 (min of reference process per min). What is the F value by the trapezoidal rule?

  1. 4.27 min
  2. 4.2 min
  3. 2.2 min
  4. 4.4 min
Answer and working

B. 4.2 min

Trapezoidal: h(½y₀ + y₁ + y₂ + y₃ + ½y₄) = 2(0.05 + 0.6 + 0.9 + 0.5 + 0.05) = 4.2 min. Simpson's rule gives 4.27 min; multiplying the plain sum by h (4.4) counts the end points twice their weight.

Further reading: Chapra and Canale, Numerical Methods for Engineers

8 · Sampling theory and confidence intervals · medium

A sample is drawn from the top of an unstirred milk tank. The resulting error in fat content is best described as:

  1. A random sampling error that disappears when the number of samples is increased
  2. A Type II error, because the test fails to detect a difference that exists
  3. A non-sampling bias error that more replicate samples from the top would not reduce
  4. Negligible, because fat is evenly dispersed in milk at rest for many hours
Answer and working

C. A non-sampling bias error that more replicate samples from the top would not reduce

Cream rises in unstirred milk, so top samples are systematically high in fat. That is bias, which more samples from the same spot do not remove; only mixing does.

Further reading: Codex CAC/GL 50, General Guidelines on Sampling

9 · Correlation and regression · medium

A calibration line is A = 0.016 + 0.196C (C in mg/L). A sample reads A = 0.50. What is its concentration?

  1. 2.55 mg/L
  2. 2.63 mg/L
  3. 2.47 mg/L
  4. 0.11 mg/L
Answer and working

C. 2.47 mg/L

C = (A − a)/b = (0.50 − 0.016)/0.196 = 2.47 mg/L. Ignoring the intercept gives 2.55; adding it gives 2.63.

Further reading: Snedecor and Cochran, Statistical Methods

10 · Introduction to response surface methodology for product optimisation · medium

Optimising several responses at once, such as creaminess, melt resistance and cost of an ice cream, is commonly done with:

  1. A desirability function combining each response on a 0–1 scale
  2. A chi-square test of the responses
  3. A separate t-test for each response
  4. A Latin square of the three responses
Answer and working

A. A desirability function combining each response on a 0–1 scale

Derringer's desirability approach converts each response to 0 (unacceptable) to 1 (ideal) and maximises their geometric mean. The optimum must then be confirmed experimentally.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology

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Read the subject

Mathematics & Statistics for Dairy ScienceThe full study manual, free ICAR AIEEA-PGFormat, sections and how it has changed

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Mathematics & Statistics for Dairy Science for other exams

ICAR AICE-JRF/SRF · IndiaGATE · IndiaASRB NET and ARS · India

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