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GATE Mathematics & Statistics for Dairy Science: practice questions

GATE — Life Sciences (XL) with Section U Food Technology · India · IITs and IISc on rotation (2026: IIT Guwahati)

Original practice questions written to the published syllabus · not past papers
10worked here, free
34written to this exam in this subject
8syllabus 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 34 questions fall

How our questions for GATE spread across the units of Mathematics & Statistics for Dairy Science. Difficulty: 5 easy, 27 medium, 2 hard.

Numerical methods for engineering problems6
Matrices and linear equations5
Ordinary differential equations: first-order kinetics and cooling5
Correlation and regression5
Introduction to response surface methodology for product optimisation5
Differential and integral calculus3
Sampling theory and confidence intervals3
Descriptive statistics and probability distributions2

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

The cost per metre of insulating a pipe is C(t) = 50t + 2/t (t in m). At what thickness is the total cost a minimum?

  1. 0.04 m
  2. 0.5 m
  3. 0.2 m
  4. 5 m
Answer and working

C. 0.2 m

dC/dt = 50 − 2/t² = 0 gives t² = 0.04, t = 0.2 m. d²C/dt² = 4/t³ > 0, so it is a minimum. 0.04 m is t², not t.

Further reading: Kreyszig, Advanced Engineering Mathematics

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

For first-order inactivation, the decimal reduction time D and the rate constant k (per min) are related by:

  1. D = 2.303/k
  2. D = 0.693/k
  3. D = k/2.303
  4. D = 1/k
Answer and working

A. D = 2.303/k

log₁₀(N₀/N) = kt/2.303, so one log cycle (tenfold) takes D = 2.303/k. 0.693/k is the half-life.

Further reading: Singh and Heldman, Introduction to Food Engineering

5 · 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

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 · Descriptive statistics and probability distributions · medium

Pouches are defective with probability 0.02, independently. What is the probability that a sample of 20 contains no defective pouch?

  1. 0.980
  2. 0.600
  3. 0.668
  4. 0.332
Answer and working

C. 0.668

Binomial with x = 0: (1 − 0.02)²⁰ = 0.98²⁰ = 0.668. 0.980 is for a single pouch; 0.332 is the probability of at least one defective.

Further reading: Snedecor and Cochran, Statistical Methods

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 GATEFormat, sections and how it has changed

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Mathematics & Statistics for Dairy Science for other exams

ICAR AICE-JRF/SRF · IndiaICAR AIEEA-PG · IndiaASRB NET and ARS · India

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