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ASRB NET Response Surface, Mixture & Optimal Designs: practice questions

ASRB NET - Agricultural Statistics (and Computer Application / Bioinformatics) · India · Agricultural Scientists Recruitment Board (ICAR)

Original practice questions written to the published syllabus · not past papers
10worked here, free
92written to this exam in this subject
9syllabus units

What this subject covers

Finding the best dose or combination: first- and second-order response surfaces, central composite and Box-Behnken designs, rotatability, fertiliser response optimisation, mixture designs for blends and feed formulations, and the alphabetic optimality criteria.

In the exams: Not an explicit unit in AICE-JRF Ag Stat; standard MSc/PhD course in agricultural statistics programmes; ASRB NET Ag Stat (reported)

What ASRB NET asks from it

ASRB NET / ARS Agricultural Statistics (reported)

Second-order designs (CCD, Box-Behnken), rotatability, canonical analysis, fertiliser response and optimum dose, mixture designs and optimality criteria.

Where the 92 questions fall

How our questions for ASRB NET spread across the units of Response Surface, Mixture & Optimal Designs. Difficulty: 21 easy, 50 medium, 21 hard.

First-order and second-order response surface models11
Central composite and Box-Behnken designs11
Rotatability and orthogonal blocking11
Canonical analysis and the method of steepest ascent11
Fertiliser response functions and economic optimum dose11
Mixture experiments: simplex lattice and simplex centroid designs11
Optimality criteria: A-, D-, E- and G-optimality10
Taguchi and robust parameter designs (introduction)9
Computer-generated optimal designs7

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 · First-order and second-order response surface models · hard

A 2^2 factorial has mean 40.0 at its four corners; 5 centre points have mean 44.0 and SD 1.5. What is the t statistic for curvature?

  1. 3.77
  2. 3.98
  3. 5.96
  4. 2.67
Answer and working

B. 3.98

SE = s sqrt(1/4 + 1/5) = 1.006; t = 4.0/1.006 = 3.98 on 4 df.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

2 · Canonical analysis and the method of steepest ascent · medium

The eigenvalues of B are -3.0 and +1.2. What does this indicate?

  1. A minimum
  2. A rising ridge
  3. A saddle point
  4. A maximum
Answer and working

C. A saddle point

Mixed signs mean the response rises in one direction and falls in another.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

3 · Fertiliser response functions and economic optimum dose · easy

For y = 2000 + 30x - 0.1x^2, at what rate is yield maximum?

  1. 300
  2. 75
  3. 150
  4. 67
Answer and working

C. 150

x_max = b/(2c) = 30/0.2 = 150 kg/ha.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

4 · Optimality criteria: A-, D-, E- and G-optimality · medium

What does E-optimality maximise?

  1. The number of design points
  2. The smallest eigenvalue of X'X
  3. The average prediction variance
  4. The determinant of X'X
Answer and working

B. The smallest eigenvalue of X'X

It minimises the variance of the worst-estimated linear combination of parameters.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

5 · Optimality criteria: A-, D-, E- and G-optimality · medium

Which criterion suits an experiment whose purpose is prediction over the whole region?

  1. E-optimality
  2. Rotatability only
  3. Resolution III
  4. I-optimality
Answer and working

D. I-optimality

I-optimality minimises average prediction variance over the region.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

6 · Computer-generated optimal designs · medium

What should be checked before running a computer-generated design?

  1. Only the D-efficiency value printed by the design software
  2. Prediction variance, term correlations and lack-of-fit df
  3. Only the number of centre points in the design
  4. Only that every run uses extreme factor levels
Answer and working

B. Prediction variance, term correlations and lack-of-fit df

Optimality on one criterion does not guarantee good practical properties.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

7 · Computer-generated optimal designs · hard

A potting medium has soil at least 30%, compost 10-50% and sand at most 40%. What kind of region results?

  1. A single point
  2. An irregular polygon inside the simplex
  3. A full equilateral triangle
  4. A cube in proportion space
Answer and working

B. An irregular polygon inside the simplex

Bounds cut the simplex into a polytope, calling for vertex-based or optimal designs.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

8 · Taguchi and robust parameter designs (introduction) · medium

Which agricultural problem reflects robust-design thinking?

  1. Removing all replicates from a trial
  2. Testing a single variety at one site
  3. Practices whose yield varies little with weather
  4. Choosing the plot with the highest yield last year
Answer and working

C. Practices whose yield varies little with weather

Weather is a noise factor; practices insensitive to it are robust.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

9 · First-order and second-order response surface models · easy

In coded units, what are the factorial levels of a 2^k design?

  1. -1 and +1
  2. 1 and 2
  3. 0 and 1
  4. -2 and +2
Answer and working

A. -1 and +1

Coding centres the region at zero with half-range one.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

10 · Mixture experiments: simplex lattice and simplex centroid designs · easy

What shape is the experimental region for three mixture components?

  1. A circle
  2. A cube
  3. A triangle
  4. A square
Answer and working

C. A triangle

Proportions summing to one form a two-dimensional simplex, which is a triangle.

Further reading: Myers, Montgomery and Anderson-Cook, Response Surface Methodology; Cornell, Experiments with Mixtures

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Read the subject

Response Surface, Mixture & Optimal DesignsThe full study manual, free ASRB NETFormat, sections and how it has changed

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Response Surface, Mixture & Optimal Designs for other exams

ASRB Agricultural Research Service · India

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