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Key Facts: Engineer Quality Management Exam

100 items

Written exam item count (5 subjects × 20 items)

Q-Net Engineer Quality Management specification (jmCd=1500)

150 minutes

Written exam duration (30 minutes per subject)

Q-Net 필기시험 접수안내

40 / 60

Written passing standard (minimum 40 per subject, 60 average)

Q-Net 검정기준 및 방법

KRW 19,400

Written exam fee (Q-Net 2026)

Q-Net crf005 jmCd=1500

KRW 22,600

Practical exam fee (Q-Net 2026)

Q-Net crf005 jmCd=1500

2 years

Written-pass practical exemption duration

National Technical Qualifications Act Enforcement Decree Article 21

품질경영기사 is HRD Korea's Engineer-grade quality engineering qualification under MOTIR. The 2026 written exam features 100 four-option MCQs across five subjects (20 per subject, 150 minutes total) with a 40-point per-subject floor and a 60-point average required to pass, followed by a 3-hour written practical exam in 품질경영 실무. Official fees are KRW 19,400 (written) and KRW 22,600 (practical). OpenExamPrep provides 100 independent English-language MCQ study questions for the written subjects.

Sample Engineer Quality Management Practice Questions

Try these sample questions to review concepts for the Engineer Quality Management exam. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1A one-way ANOVA experiment (일원배치법) is conducted to evaluate a tensile strength treatment with a = 4 levels and n = 5 replicates per level (total sample size N = 20). Given the correction factor CF = 1,800, total raw sum of squares Sum(y_ij^2) = 1,920, and treatment sum of squares term Sum(T_i^2 / n) = 1,875, what is the calculated F-statistic (F0) for testing equality of treatment means?
A.8.89
B.5.56
C.12.45
D.3.24
Explanation: The total sum of squares is S_T = Sum(y_ij^2) - CF = 1920 - 1800 = 120. The treatment sum of squares is S_A = Sum(T_i^2 / n) - CF = 1875 - 1800 = 75 with degrees of freedom df_A = a - 1 = 4 - 1 = 3, giving mean square V_A = 75 / 3 = 25. The error sum of squares is S_E = S_T - S_A = 120 - 75 = 45 with df_E = N - a = 20 - 4 = 16, yielding mean square V_E = 45 / 16 = 2.8125. The F-statistic is F0 = V_A / V_E = 25 / 2.8125 = 8.888... approx 8.89.
2In a completely randomized one-way layout with unequal sample sizes, three machine types are tested with n1 = 4, n2 = 6, and n3 = 5 observations (total N = 15). If the residual sum of squares (S_E, 잔차제곱합) is 36.0, what is the estimated unbiased error variance (V_E = MS_E)?
A.3.00
B.2.40
C.2.57
D.3.60
Explanation: In a one-way ANOVA with a = 3 treatments and total observations N = n1 + n2 + n3 = 4 + 6 + 5 = 15, the error degrees of freedom are df_E = N - a = 15 - 3 = 12. The mean square error (V_E) is S_E / df_E = 36.0 / 12 = 3.00.
3In a two-way ANOVA without replication (반복이 없는 이원배치법), Factor A has a = 4 levels and Factor B has b = 5 levels. What are the degrees of freedom for the residual error term (오차항의 자유도)?
A.12
B.15
C.19
D.20
Explanation: In a two-way layout without replication, total sample size is N = a * b = 4 * 5 = 20. The degrees of freedom are df_A = a - 1 = 3, df_B = b - 1 = 4, and df_E = (a - 1)(b - 1) = 3 * 4 = 12 (or df_T - df_A - df_B = 19 - 3 - 4 = 12).
4A two-way factorial experiment with replication (반복이 있는 이원배치법) has a = 3 levels of Factor A, b = 4 levels of Factor B, and r = 3 replicates per cell (total N = 36). The ANOVA calculations yield S_T = 250, S_A = 60, S_B = 80, and S_AxB = 50. What is the calculated F-statistic for the interaction effect A×B?
A.3.33
B.2.50
C.4.17
D.1.67
Explanation: The error sum of squares is S_E = S_T - S_A - S_B - S_AxB = 250 - 60 - 80 - 50 = 60. The degrees of freedom are df_AxB = (a - 1)(b - 1) = (3 - 1)(4 - 1) = 6 and df_E = a * b * (r - 1) = 3 * 4 * (3 - 1) = 24. Mean squares are V_AxB = S_AxB / df_AxB = 50 / 6 = 8.333 and V_E = S_E / df_E = 60 / 24 = 2.50. Therefore, F_AxB = V_AxB / V_E = 8.333 / 2.50 = 3.333 approx 3.33.
5What is the primary statistical motivation for employing a Randomized Complete Block Design (RCBD, 난괴법) in industrial experiments, and what critical assumption is made about blocks?
A.To isolate and remove a known source of nuisance variation from experimental error, assuming block and treatment effects are additive with negligible interaction
B.To maximize the degrees of freedom for the residual error term by testing multiple treatments simultaneously without randomization
C.To estimate the non-linear interaction effect between raw material batches and processing temperatures
D.To replace replication completely by running only a single trial under extreme process settings
Explanation: RCBD is designed to isolate a known external nuisance factor (e.g., shifts, operator variations, raw material batches) into homogeneous blocks. Removing the block sum of squares (S_B) from the total variance reduces the residual error variance (V_E), thereby increasing the power of the treatment test. Standard RCBD assumes that block and treatment effects are purely additive and do not interact.
6An RCBD experiment evaluates a = 4 chemical treatments across b = 5 production blocks. The ANOVA calculates S_T = 180, treatment sum of squares S_Tr = 72, and block sum of squares S_Bl = 60. What is the calculated F-statistic for testing treatment differences?
A.6.00
B.4.50
C.8.00
D.3.75
Explanation: In an RCBD with a = 4 and b = 5, total observations N = 20. The error sum of squares is S_E = S_T - S_Tr - S_Bl = 180 - 72 - 60 = 48. Degrees of freedom are df_Tr = 4 - 1 = 3 and df_E = (a - 1)(b - 1) = (3)(4) = 12. Mean squares are V_Tr = S_Tr / df_Tr = 72 / 3 = 24 and V_E = S_E / df_E = 48 / 12 = 4. The treatment F-statistic is F_Tr = V_Tr / V_E = 24 / 4 = 6.00.
7In a 5 × 5 Latin Square Design (라틴방격법), treatments are tested across 5 rows and 5 columns (total 25 runs). What are the degrees of freedom for the residual error term (오차항)?
A.12
B.16
C.8
D.20
Explanation: For a p × p Latin Square Design, the degrees of freedom are: Rows = p - 1, Columns = p - 1, Treatments = p - 1, and Error = (p - 1)(p - 2). For p = 5: df_E = (5 - 1)(5 - 2) = 4 * 3 = 12. (Checking total: df_T = 25 - 1 = 24; df_E = 24 - 4 - 4 - 4 = 12).
8Which of the following is a primary characteristic and operational limitation of a Latin Square Design (라틴방격법)?
A.It simultaneously blocks two extraneous sources of variation using equal numbers of rows, columns, and treatment levels, assuming all interactions are negligible
B.It requires three times as many experimental runs as a full factorial design to estimate second-order response surface curvatures
C.It allows unrestricted evaluation of multi-way interactions between row, column, and treatment factors
D.It can only be applied when the number of treatments is an odd prime number
Explanation: A Latin Square Design allows simultaneous orthogonal blocking of two nuisance factors (rows and columns) while testing a treatment factor with p levels in only p^2 runs instead of p^3. Its major limitation is the strict assumption that all interactions among rows, columns, and treatments are negligible; if interactions exist, they confound treatment effects.
9In a Split-Plot Design (분할법), Factor A (hard-to-change whole-plot factor) has a = 3 levels, Factor B (easy-to-change sub-plot factor) has b = 4 levels, and the experiment is laid out in r = 4 blocks. What are the degrees of freedom for the whole-plot error (e1, 주구오차) and the sub-plot error (e2, 세구오차)?
A.df(e1) = 6, df(e2) = 27
B.df(e1) = 8, df(e2) = 24
C.df(e1) = 12, df(e2) = 36
D.df(e1) = 3, df(e2) = 18
Explanation: In a split-plot design with whole-plot factor A (a=3), sub-plot factor B (b=4), and blocks (r=4): total runs N = a*b*r = 3*4*4 = 48. Whole-plot error e1 has df(e1) = (a - 1)(r - 1) = (3 - 1)(4 - 1) = 2 * 3 = 6. Sub-plot error e2 has df(e2) = a(b - 1)(r - 1) = 3 * (4 - 1) * (4 - 1) = 3 * 3 * 3 = 27. Total check: Blocks(3) + A(2) + e1(6) = 11 (whole-plot df); B(3) + AxB(6) + e2(27) = 36 (sub-plot df); 11 + 36 = 47 = N - 1.
10In a split-plot design, why is the statistical test for the sub-plot factor (B) and the interaction (A×B) generally more sensitive and precise (높은 정밀도) than the test for the whole-plot factor (A)?
A.Because sub-plot comparisons are made within homogeneous whole plots, and sub-plot error e2 typically has smaller variance and more degrees of freedom than e1
B.Because whole-plot factors are evaluated with more replications than sub-plot treatments
C.Because sub-plot factors are always qualitative while whole-plot factors must be continuous
D.Because error e1 is assumed to follow a Cauchy distribution while error e2 follows a normal distribution
Explanation: In split-plot experiments, the whole-plot factor (A) is confounded with larger whole-plot units, resulting in larger variance for error e1 and fewer degrees of freedom. Sub-plot units are smaller and nested within the same whole plot, making them more uniform and producing a smaller error variance V(e2) with substantially more degrees of freedom, which increases the statistical power for testing Factor B and A×B.

About the Engineer Quality Management Exam

Engineer Quality Management (품질경영기사) is South Korea's Engineer-grade national technical qualification for quality engineering and industrial management, administered by HRD Korea under the Ministry of Trade, Industry and Resources (MOTIR / 산업통상부). The written examination consists of 100 four-option multiple-choice questions covering Design of Experiments (실험계획법), Statistical Quality Control (통계적 품질관리), Production Systems (생산시스템), Reliability Engineering (신뢰성관리), and Quality Management Systems (품질경영). Candidates who pass the written examination advance to the 3-hour written practical examination (필답형) in Quality Management Practice (품질경영 실무). This resource provides an independent English-language MCQ study adaptation of the written subjects and is not a practical-paper simulation.

Exam sponsor: HRD Korea (Q-Net) / Ministry of Trade, Industry and Resources (MOTIR / 산업통상부). The requirements and fees below concern the certification or admission exam, separate from our free practice resources.

Assessment

Written paper covering 실험계획법, 통계적 품질관리, 생산시스템, 신뢰성관리, and 품질경영 (20 items and 30 minutes each, 150 minutes total), followed by a 3-hour, 100-point written practical examination in 품질경영 실무. This independent practice bank uses 20 items for each published written subject.

Time Limit

150 minutes written

Passing Score

Written: 40+ per subject and 60 average; Practical: 60/100

Exam / Certification Fees

KRW 19,400 written / KRW 22,600 practical (Q-Net, 2026)

Exam sponsor website

Fees, eligibility, and exam policies can change. Confirm them with the exam sponsor before applying or paying.

Official sources

Our practice resources: topics covered

We aim to reflect publicly available exam outlines and topic information in our study resources. Coverage, format, and difficulty may differ from the actual exam, and we cannot guarantee that every detail is accurate or current. Confirm exam requirements, fees, and policies with the official exam sponsor.

20%

Design of Experiments (실험계획법)

One-way and two-way ANOVA, randomized block designs, split-plot designs, Latin square designs, 2^k factorial designs, orthogonal arrays, and linear regression ANOVA.

20%

Statistical Quality Control (통계적 품질관리)

Probability distributions, X-bar and R control charts, attribute control charts (p, np, c, u), process capability indices (Cp, Cpk), and acceptance sampling (OC curves, AQL, LTPD).

20%

Production Systems (생산시스템)

Aggregate production planning, master production scheduling (MPS), material requirements planning (MRP), JIT/Lean/Kanban systems, work study and motion economy, and facility layout/line balancing.

20%

Reliability Engineering (신뢰성관리)

Reliability functions and bathtub hazard rate curves, exponential and Weibull failure distributions, system reliability (series, parallel, k-out-of-n), accelerated life testing, and FMEA/FTA failure analysis.

20%

Quality Management Systems (품질경영)

TQM philosophy (Deming, Juran, Crosby), Cost of Quality (PAF model), ISO 9001 quality management standard framework, Six Sigma DMAIC methodology, 7 QC tools and New 7 tools, and customer satisfaction indices.

Preparing for the Engineer Quality Management Exam

What You Need to Know

  • Passing score: Written: 40+ per subject and 60 average; Practical: 60/100
  • Assessment: Written paper covering 실험계획법, 통계적 품질관리, 생산시스템, 신뢰성관리, and 품질경영 (20 items and 30 minutes each, 150 minutes total), followed by a 3-hour, 100-point written practical examination in 품질경영 실무. This independent practice bank uses 20 items for each published written subject.
  • Time limit: 150 minutes written
  • Exam / certification fees: KRW 19,400 written / KRW 22,600 practical (Q-Net, 2026) Official sources

Using Our Practice Resources

  • Work through all 100 available questions
  • Review every answer and explanation
  • Track weak areas and revisit them
  • Use our AI tutor for tough concepts

Engineer Quality Management: Suggested Study Strategy

1Master ANOVA calculation routines by hand: total sum of squares (S_T), treatment sum of squares (S_A, S_B), error sum of squares (S_E), degrees of freedom, and F-statistic ratios.
2Thoroughly memorize control chart factor formulas: A2, D3, D4 for X-bar-R charts and standard deviation conversions (d2, c4).
3Practice process capability metrics: distinguish between centered capability (Cp) and shifted capability (Cpk), and know their relationship to specification limits (USL - LSL) / (6 * sigma).
4Work through MRP explosion tables, line balancing balance efficiency / balance delay formulas, and economic order quantity (EOQ) trade-offs in Production Systems.
5Understand reliability models: exponential MTTF, hazard function h(t), Weibull shape parameter beta (<1 infant mortality, =1 random, >1 wear-out), and system redundancy calculations.

Frequently Asked Questions

What is Engineer Quality Management (품질경영기사)?

It is South Korea's certified Engineer-grade National Technical Qualification in quality assurance, industrial quality control, and reliability management, administered by the Human Resources Development Service of Korea (HRD Korea / Q-Net) under the Ministry of Trade, Industry and Resources (MOTIR / 산업통상부).

How is the official examination structured in 2026?

The qualification has two stages: (1) a written paper (CBT) of 100 four-option MCQs across five 20-item subjects (150 minutes total), requiring at least 40 points in each subject and an overall average of 60 points; and (2) a 3-hour written practical examination (품질경영 실무 필답형) requiring 60 out of 100 points.

What are the five subjects covered in the written examination?

The five official subjects are: 1. Design of Experiments (실험계획법), 2. Statistical Quality Control (통계적 품질관리), 3. Production Systems (생산시스템), 4. Reliability Engineering (신뢰성관리), and 5. Quality Management Systems (품질경영).

What are the official registration fees and exam timing?

As published on Q-Net (jmCd=1500), the written examination fee is KRW 19,400 and the practical examination fee is KRW 22,600. The written exam allows 30 minutes per subject (150 minutes total), while the practical exam is 3 hours long.

How long is a written exam pass valid for the practical exam?

Under Article 21 of the Enforcement Decree of the National Technical Qualifications Act, passing the written examination provides an exemption from the written test for exactly 2 years from the date the pass is announced.

What tools or calculators are permitted during the examination?

Candidates are permitted to use non-programmable scientific calculators compliant with HRD Korea's approved calculator model list. Statistical tables (such as normal, t, F, chi-square distributions, and control chart factor tables) are provided in the CBT testing interface or exam booklet.