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IIT JAM Statistical Quality Control & Reliability: practice questions

IIT JAM - Mathematical Statistics (MS) · India · IITs (JAM 2026 organised by IIT Bombay)

Original practice questions written to the published syllabus · not past papers
10worked here, free
36written to this exam in this subject
10syllabus units

What this subject covers

Monitoring and accepting quality: Shewhart charts for variables and attributes, CUSUM and EWMA charts, process capability, acceptance sampling plans with their OC, AOQ and ATI curves, and reliability models, applied to seed testing, food processing and input quality. The Agricultural Engineering track covers control charts briefly; this is the full subject.

In the exams: UPSC ISS Statistics III (heavy, reported); SSC CGL JSO (present); AICE-JRF Dairy Microbiology syllabus names 'statistical quality control' (present); light in AICE-JRF Ag Stat

Where the 36 questions fall

How our questions for IIT JAM spread across the units of Statistical Quality Control & Reliability. Difficulty: 6 easy, 25 medium, 5 hard.

CUSUM and EWMA charts6
Control charts for variables: X-bar, R and s charts5
Acceptance sampling by variables5
Reliability: hazard rate, series and parallel systems, life testing5
Six Sigma and design for quality (introduction)4
Chance and assignable causes of variation3
Process capability indices3
Control charts for attributes: p, np, c and u charts2
Acceptance sampling by attributes: single, double and sequential plans2
OC, AOQ, AOQL, ASN and ATI curves1

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 · Control charts for variables: X-bar, R and s charts · easy

With R̄ = 0.40 kg from subgroups of 5 (d₂ = 2.326), what is σ̂?

  1. 0.179 kg
  2. 0.172 kg
  3. 0.400 kg
  4. 0.930 kg
Answer and working

B. 0.172 kg

σ̂ = R̄/d₂ = 0.40/2.326 = 0.172.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

2 · Control charts for variables: X-bar, R and s charts · medium

Only one moisture reading per batch is available. Which chart is used?

  1. Individuals and moving-range charts
  2. s chart
  3. X̄ and R chart with n = 1
  4. p chart
Answer and working

A. Individuals and moving-range charts

With n = 1 no within-subgroup range exists; the moving range of successive values estimates σ (MR̄/1.128).

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

3 · Control charts for variables: X-bar, R and s charts · hard

An X̄ chart uses subgroups of 5 with 3-sigma limits. The mean shifts by one process standard deviation. What is the probability that the next point signals?

  1. 0.159
  2. 0.222
  3. 0.500
  4. 0.023
Answer and working

B. 0.222

The shift is δ√n = √5 = 2.236 standard errors: P(Z > 3 − 2.236) + P(Z < −3 − 2.236) = 0.222; ARL₁ ≈ 4.5. 0.159 ignores √n (a shift of one standard error).

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

4 · Control charts for variables: X-bar, R and s charts · medium

What is the constant d₂ used in σ̂ = R̄/d₂?

  1. Expected range of n standard normals
  2. The standard deviation of the range
  3. The 3-sigma multiplier for X̄
  4. The ratio s/R
Answer and working

A. Expected range of n standard normals

E(R) = d₂σ for normal samples (2.326 for n = 5), so R̄/d₂ is unbiased for σ.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

5 · Control charts for attributes: p, np, c and u charts · medium

With p̄ = 0.04, how large must n be for the p chart to have a positive lower limit?

  1. More than 100
  2. More than 9
  3. More than 216
  4. More than 25
Answer and working

C. More than 216

LCL > 0 requires p̄ > 3√[p̄(1 − p̄)/n], i.e. n > 9(1 − p̄)/p̄ = 216.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

6 · CUSUM and EWMA charts · medium

An EWMA uses λ = 0.2 and L = 3. What are its steady-state limits?

  1. μ₀ ± 3σ
  2. μ₀ ± 0.2σ
  3. μ₀ ± σ
  4. μ₀ ± 0.6σ
Answer and working

C. μ₀ ± σ

Lσ√[λ/(2 − λ)] = 3σ√(0.2/1.8) = 3σ/3 = σ.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

7 · CUSUM and EWMA charts · medium

A dairy laboratory has one fat reading per batch, slightly skewed, and wants to detect slow drifts. Which chart suits it?

  1. A p chart with n = 1
  2. An R chart
  3. An EWMA chart
  4. A c chart
Answer and working

C. An EWMA chart

EWMA averaging makes it robust to mild non-normality and sensitive to small drifts with individual data.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

8 · Process capability indices · medium

A filler's σ is halved from 8 g to 4 g. Keeping the same protection against under-weight packs, by about how much can the mean fill be lowered with a 3σ margin?

  1. 4 g
  2. 24 g
  3. 8 g
  4. 12 g
Answer and working

D. 12 g

The margin above the lower limit falls from 3 × 8 = 24 g to 3 × 4 = 12 g, saving 12 g of give-away per pack.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

9 · Acceptance sampling by variables · medium

Which international standard provides variables plans matched to ISO 2859?

  1. ISO 14001
  2. ISO 3951
  3. ISO 22000
  4. ISO 9001
Answer and working

B. ISO 3951

ISO 3951 covers inspection by variables; ISO 9001 is a management-system standard.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

10 · Reliability: hazard rate, series and parallel systems, life testing · hard

Three identical sensors (reliability 0.9 each) form a 2-out-of-3 system. What is its reliability?

  1. 0.972
  2. 0.900
  3. 0.729
  4. 0.999
Answer and working

A. 0.972

P(at least 2 work) = 3(0.9)²(0.1) + 0.9³ = 0.243 + 0.729 = 0.972.

Further reading: Montgomery, Introduction to Statistical Quality Control; Duncan, Quality Control and Industrial Statistics; Schilling and Neubauer, Acceptance Sampling in Quality Control

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Read the subject

Statistical Quality Control & ReliabilityThe full study manual, free IIT JAMFormat, sections and how it has changed

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