100+ Free Junior Statistician Qualification Examination Practice Questions

Prepare for the National Junior Statistician Professional Qualification Examination (全国初级统计专业技术资格考试) exam with instant access — no signup required.

✓ No registration✓ No credit card✓ No hidden fees✓ Start practicing immediately

100+ Questions

100% Free

Loading practice questions...

Same family resources

Explore More China Statistician Professional Qualification (统计专业技术资格)

Continue into nearby exams from the same family. Each card keeps practice questions, study guides, flashcards, videos, and articles in one place.

Intermediate Statistician (中级统计师, China)

Practice Questions100 questions

Senior Statistician (高级统计师, China)

Practice Questions99 questions

2026 Statistics

Key Facts: Junior Statistician Qualification Examination Exam

150 mins

Examination Duration per Paper (2 papers, 300 mins total)

National Bureau of Statistics Exam Center

72 / 120

National Passing Benchmark per Paper (60% standard)

MOHRSS & NBS Qualification Notice

1 Year

Examination Score Cycle (Must pass both papers in one sitting)

NBS Statistical Qualification Regulations

¥50–¥70

Exam Registration Fee per Subject (RMB)

Provincial Human Resources / Statistics Departments

June 28

2026 National Examination Date

National Bureau of Statistics Official Calendar

100

Practice Questions in this OpenExamPrep Bank

OpenExamPrep

This 100-question practice module is an independent English-language MCQ study adaptation for China's National Junior Statistician Professional Qualification Examination (初级统计专业技术资格考试) administered by the NBS and MOHRSS. It covers both official examination subjects across 8 comprehensive domains—including descriptive statistics, Laspeyres/Paasche index systems, PRC Statistics Law, GDP production/income/expenditure accounting, industry thresholds, and enterprise ledgers—with step-by-step mathematical calculations, official statutory references, and dual-language terminology.

Sample Junior Statistician Qualification Examination Practice Questions

Try these sample questions to test your Junior Statistician Qualification Examination exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1In statistical theory and survey methodology, what is the primary distinction between a 'parameter' (总体参数) and a 'statistic' (样本统计量)?

A.A parameter is a fixed numerical summary describing a population, whereas a statistic is a numerical value calculated from sample data.

B.A parameter is calculated exclusively from sample data, whereas a statistic is an estimated constant representing a census.

C.A parameter varies across different random samples drawn from the same population, whereas a statistic remains constant.

D.A parameter measures only qualitative categorical variables, whereas a statistic measures only quantitative continuous variables.

Explanation: A population parameter (总体参数, such as the population mean μ or population variance σ²) is a numerical summary that describes a specific characteristic of the entire population and is generally an unknown constant. A sample statistic (样本统计量, such as the sample mean x̄ or sample variance s²) is a random variable computed from sample observations, used to estimate or make inferences about the unknown population parameter.

2Which of the following variables is measured on a 'nominal scale' (定类尺度) according to the four levels of measurement in statistics?

A.Employee professional qualification level (e.g., Junior, Intermediate, Senior Statistician)

B.Enterprise ownership registration type (e.g., State-Owned, Private, Foreign-Invested)

C.Daily average temperature of a warehouse in degrees Celsius (°C)

D.Total annual prime operating revenue of an industrial enterprise in RMB

Explanation: A nominal scale (定类尺度) classifies data into distinct qualitative categories with no inherent natural ordering or mathematical distance between them (e.g., enterprise registration type, gender, industry code). Professional qualification level is on an ordinal scale (定序尺度); temperature in Celsius is on an interval scale (定距尺度); and annual operating revenue is on a ratio scale (定比尺度).

3Which of the following statistical variables represents a 'discrete quantitative variable' (离散型定量变量)?

A.The total electricity consumption of a cement factory measured in kilowatt-hours (kWh)

B.The exact net weight of packaged chemical products measured in kilograms (kg)

C.The number of automated production line stoppages in a manufacturing plant during a month

D.The floor space under construction of a commercial building project in square meters

Explanation: A discrete variable (离散变量) takes on distinct, separate countable values (typically non-negative integers, such as the count of equipment stoppages, number of employees, or defects). Continuous variables (连续变量) can take any value within a given numerical interval, such as electricity consumption, product weight, and floor space area.

4A statistical bureau intends to survey household income across a city. The population is divided into distinct urban districts, suburban towns, and rural counties. Independent random samples are then drawn from each stratum in proportion to their population size. What sampling method is being utilized?

A.Cluster Sampling (整群抽样)

B.Systematic Sampling (等距/系统抽样)

C.Convenience Sampling (方便抽样)

D.Stratified Random Sampling (分层抽样)

Explanation: Stratified random sampling (分层抽样) divides the entire population into mutually exclusive, homogeneous subgroups (strata) based on known characteristics (e.g., geographical areas, income tiers), and then draws independent random samples from within each stratum. This technique improves sampling precision by minimizing within-stratum variance while capturing between-stratum differences.

5A statistical survey team needs to select a sample of n = 50 retail stores from a registered population of N = 2,500 stores using systematic sampling (等距抽样). If the random starting number selected between 1 and k is 18, what are the sampling interval (k) and the identification number of the 4th selected store?

A.Sampling interval k = 50; 4th store ID = 218

B.Sampling interval k = 50; 4th store ID = 168

C.Sampling interval k = 25; 4th store ID = 93

D.Sampling interval k = 50; 4th store ID = 150

Explanation: The sampling interval is k = N / n = 2,500 / 50 = 50. The systematic sample selection formula is: Unit_i = start + (i - 1) × k. For the 4th unit (i = 4): Unit_4 = 18 + (4 - 1) × 50 = 18 + 150 = 168.

6In China's national statistical survey framework, which of the following represents the core periodic foundation (基础) of the state statistical survey methodology?

A.Regular Comprehensive Statistical Reporting (经常性全面统计报表)

B.Key-Point Enterprise Surveys (重点调查)

C.Periodic Censuses (周期性普查)

D.Typical Qualitative Case Surveys (典型调查)

Explanation: Under the unified national statistical survey system established by the National Bureau of Statistics (NBS), China utilizes a statistical survey framework with 'Periodic censuses as the foundation, regular sample surveys as the main body, and comprehensive statistical reports, key-point surveys, and administrative records as supplementary methods' (以周期性普查为基础，经常性抽样调查为主体，综合运用全面统计报表、重点调查等方法).

7China conducts three major national periodic censuses. In accordance with State Council regulations, in which years are the National Economic Census (全国经济普查) scheduled to take place?

A.Years ending in 0 (e.g., 2010, 2020, 2030)

B.Years ending in 6 (e.g., 2016, 2026, 2036)

C.Years ending in 1 and 6 (e.g., 2021, 2026)

D.Years ending in 3 and 8 (e.g., 2018, 2023, 2028)

Explanation: China's three major periodic censuses operate on standard cyclical schedules: (1) The National Economic Census (全国经济普查) is conducted every 5 years in years ending in 3 and 8; (2) The National Population Census (全国人口普查) is conducted every 10 years in years ending in 0; and (3) The National Agricultural Census (全国农业普查) is conducted every 10 years in years ending in 6.

8A municipal statistical bureau organizes a survey to assess total industrial electricity consumption by surveying only the 30 largest manufacturing conglomerates, which collectively account for 85% of total industrial power usage in the city. What type of survey is this?

A.Key-Point Survey (重点调查)

B.Typical Survey (典型调查)

C.Simple Random Sample Survey (简单随机抽样调查)

D.Exhaustive Census (全面普查)

Explanation: A Key-Point Survey (重点调查) is a non-exhaustive survey method in which a relatively small number of key units (重点单位) that account for a dominant or overwhelming share of the total aggregate value under investigation are surveyed. It provides timely, cost-effective macro data without requiring a full census.

9Which of the following statements regarding statistical errors is correct?

A.Sampling error can be completely eliminated by increasing the sample size, whereas non-sampling error cannot.

B.Non-sampling errors arise solely from mathematical rounding errors during data processing.

C.Sampling error (抽样误差) exists only in probability sample surveys, whereas non-sampling error (非抽样误差) can occur in both censuses and sample surveys.

D.A complete national census is entirely free from all forms of statistical error.

Explanation: Sampling error (抽样误差) is inherent to sampling because only a subset of the population is observed; it can be quantified and controlled through sample design but exists solely in sample surveys. Non-sampling error (非抽样误差—such as coverage errors, non-response, measurement/reporting errors, and data entry errors) can occur across all survey forms, including exhaustive censuses.

10Which mathematical operation is valid for data measured on a 'ratio scale' (定比尺度) that is NOT mathematically valid for data measured on an 'interval scale' (定距尺度)?

A.Calculating differences and distances between two values (e.g., A - B)

B.Calculating the arithmetic mean and standard deviation

C.Ranking values in ascending or descending order

D.Calculating meaningful ratios and proportions (e.g., stating that A is twice as large as B)

Explanation: Because a ratio scale (定比尺度) has an absolute, non-arbitrary true zero point (representing the complete absence of the measured attribute), ratios between values are mathematically meaningful (e.g., RMB 20 million revenue is exactly double RMB 10 million). On an interval scale (定距尺度, such as Celsius temperature), the zero point is arbitrary, so differences (subtraction) are valid, but ratios (division) are meaningless (40°C is not 'twice as hot' as 20°C).

About the Junior Statistician Qualification Examination Exam

The National Junior Statistician Professional Qualification Examination (全国初级统计专业技术资格考试) is China's official statutory credential examination for entry-level statistical professionals, government statistical officers, corporate data analysts, and economic reporting specialists. Administered jointly by the National Bureau of Statistics (NBS) and MOHRSS, the examination certifies competence in fundamental statistical sciences, data collection and survey methodologies, descriptive statistical computations, time series and index factorization, the PRC Statistics Law, CSNA national economic accounting, major industry statistical systems (agriculture, industry, construction, trade, services), key socioeconomic indicators (investment, population, employment, energy, household living conditions), and enterprise statistical ledger management under the national online direct reporting framework.

Assessment

Closed-book paper-and-pencil examination across two 150-minute sessions: Paper 1 (120 points) and Paper 2 (120 points). The 2026 examination is scheduled for June 28.

Time Limit

150 minutes per paper (2 papers, 300 minutes total)

Passing Score

72 out of 120 points per subject (60% standard; must pass both in one sitting)

Exam Fee

¥50–¥70 RMB per paper (¥100–¥140 RMB total depending on provincial regulations) (National Bureau of Statistics of China (国家统计局 / NBS) & Ministry of Human Resources and Social Security (人力资源和社会保障部 / MOHRSS))

Junior Statistician Qualification Examination Exam Content Outline

12%

statistical-concepts-and-data-collection

Fundamental concepts of statistics (population, sample, parameter, statistic), variable types and measurement scales (nominal, ordinal, interval, ratio; discrete vs continuous), probability sampling methods (simple random, stratified, cluster, systematic) and non-probability sampling, and China's statistical survey organization forms (periodic censuses, regular sample surveys, key-point surveys, typical surveys, and administrative records).

14%

data-organization-and-descriptive-statistics

Data grouping, frequency distributions, cumulative frequency, graphical representation (histograms, bar charts, pie charts, line charts, boxplots), measures of central tendency (arithmetic mean, weighted mean, median, mode, geometric mean), properties of the mean, measures of dispersion (range, interquartile range, variance, standard deviation, coefficient of variation), and distribution shape analysis (skewness and kurtosis).

12%

time-series-and-index-numbers

Time series types (period series, point series), chronological averages (序时平均数 for interval and point series via first-and-last halved method), growth amounts (sequential, cumulative), development speeds (fixed-base, chain), growth speeds, average development speed (geometric mean method), index numbers concepts, Laspeyres vs Paasche price and quantity indices, and index system relative and absolute factorization.

12%

statistics-law-and-regulations

PRC Statistics Law (中华人民共和国统计法) and Implementation Regulations: basic principles (unified leadership, decentralized responsibility, independent investigation/reporting/supervision), classification of statistical surveys (national, departmental, local) and approval/filing rules, mandatory legal identifiers of survey forms, strict data confidentiality (state/trade secrets, individual respondent privacy), statistical inspection and law enforcement, administrative sanctions, and statutory fines and penalties for statistical violations.

14%

national-economic-accounting

System of National Accounts (CSNA): production boundary, resident institutional units and economic territory, Gross Domestic Product (GDP) definition, Production approach (Gross Output - Intermediate Input = Value Added), Income approach (Compensation + Net taxes on production + Depreciation + Operating surplus), Expenditure approach (Final consumption + Gross capital formation + Net exports), and Gross National Income (GNI).

14%

industry-statistics

National Economic Industry Classification (GB/T 4754), Gross Agricultural Output Value and crop estimation, Designated Size industrial enterprise criteria (≥20 million RMB revenue) and factory method output measurement, Industrial Value Added, qualification-grade construction enterprise statistics, wholesale and retail designated size thresholds, total retail sales of consumer goods (社会消费品零售总额), and service sector statistics.

14%

key-socioeconomic-indicators

Fixed asset investment statistics (≥5 million RMB project threshold and composition), real estate development statistics, population statistics (permanent resident vs registered population, birth/death/natural growth rates, sex ratio, dependency ratios), employment and wage statistics (surveyed urban unemployment rate 3 criteria vs registered unemployment, total wage bill components), energy statistics (total energy consumption, standard coal equivalent, energy intensity per unit of GDP), and household income and expenditure surveys (per capita disposable income 4 components, consumption categories, Engel coefficient).

statistical-reporting-and-enterprise-ledgers

National Enterprise Online Direct Reporting System (国家统计联网直报系统), single enterprise form system ('企业一套表'), enterprise statistical reporting procedures and deadlines, statistical ledgers (统计台账: concept, role bridging raw records and statistical forms, types: production, inventory, financial, energy, labor/wages), reconciliation with accounting records, and ledger maintenance and statutory archiving.

How to Pass the Junior Statistician Qualification Examination Exam

What You Need to Know

Passing score: 72 out of 120 points per subject (60% standard; must pass both in one sitting)
Assessment: Closed-book paper-and-pencil examination across two 150-minute sessions: Paper 1 (120 points) and Paper 2 (120 points). The 2026 examination is scheduled for June 28.
Time limit: 150 minutes per paper (2 papers, 300 minutes total)
Exam fee: ¥50–¥70 RMB per paper (¥100–¥140 RMB total depending on provincial regulations)

Keys to Passing

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

Junior Statistician Qualification Examination Study Tips from Top Performers

1Distinguish Laspeyres vs Paasche Formulas: Remember that in Chinese statistical practice, the standard Price Index uses Paasche weighting ($K_p = \sum p_1 q_1 / \sum p_0 q_1$) and the Quantity Index uses Laspeyres weighting ($L_q = \sum p_0 q_1 / \sum p_0 q_0$), satisfying the index system equation $I_v = K_p \times L_q$.

2Master the 4 Statutory Form Identifiers: Memorize that any official statistical survey form MUST bear a Form Number (表号), Formulating Organ (制定机关), Approval or Filing Number (批准文号/备案文号), and Valid Expiration Date (有效期限). If any are missing, respondents have the statutory right to refuse.

3Calculate Point Series Chronological Averages: For equidistant point series, apply the 'first and last halved' formula (首末折半法): $\bar{a} = (a_1/2 + a_2 + \dots + a_{n-1} + a_n/2) / (n - 1)$.

4Reconcile GDP Accounting Approaches: Ensure you can compute Value Added from both the Production Approach (Gross Output minus Intermediate Input) and the Income Approach (Compensation + Net Taxes on Production + Depreciation + Operating Surplus).

5Memorize Industry Designated Size Thresholds: Keep key thresholds straight—Industrial (≥20M RMB revenue), Wholesale (≥20M RMB revenue + ≥20 staff), Retail (≥5M RMB revenue + ≥60 staff), Catering/Accommodation (≥2M RMB revenue), and Fixed Asset Investment project scope (≥5M RMB planned investment).

6Identify Surveyed Urban Unemployment Criteria: Remember the 3 simultaneous conditions: no work for even 1 hour during the reference week, actively sought work in the past 3 months, and capable of starting work within 2 weeks.

Frequently Asked Questions

What is the China Junior Statistician Professional Qualification Examination?

The National Junior Statistician Professional Qualification Examination (全国初级统计专业技术资格考试) is the statutory national qualifying examination for entry-level statistical practitioners in China, co-administered by the National Bureau of Statistics (国家统计局 / NBS) and the Ministry of Human Resources and Social Security (MOHRSS). Achieving a passing mark on both examination papers awards the Junior Statistician Certificate (初级统计专业技术资格证书), qualifying holders for statistical assistant and analyst positions in government departments, research institutes, financial organizations, and state-owned and private enterprises.

What is the examination structure, time limit, and passing score?

The 2026 examination is scheduled for June 28 and consists of two separate 150-minute closed-book paper-and-pencil papers: Statistical Science and Statistics Law Foundations and Statistical Professional Knowledge and Practice. Each carries 120 points, and the fixed national passing benchmark is 72 out of 120 for each subject.

What are the eligibility requirements to register for the Junior Statistician exam?

Candidates must possess a high school diploma, secondary vocational school diploma (高中/中专及以上学历), or equivalent degree, uphold the PRC Constitution and Statistics Law, and exhibit sound professional ethics. Unlike the Intermediate level, no minimum years of prior statistical work experience are required for eligible high school or college graduates.

What core calculation formulas are tested on the examination?

High-yield calculation topics include: (1) Measures of central tendency (simple and weighted arithmetic mean, geometric mean, median interpolation); (2) Measures of dispersion (variance, sample standard deviation, coefficient of variation); (3) Time series chronological averages (first-and-last halved formula) and average development speed; (4) Laspeyres and Paasche index factorization ($I_v = I_p imes I_q$); (5) GDP Value Added via Production and Income approaches ($VA = \text{Output} - \text{Intermediate Input}$; $VA = \text{Compensation} + \text{Net Taxes} + \text{Depreciation} + \text{Operating Surplus}$); (6) Demographic rates and dependency ratios; (7) Energy intensity per unit of GDP; and (8) Engel's coefficient.

What are the key legal provisions under the PRC Statistics Law?

Candidates must master: (1) The basic administrative principle of 'unified leadership and decentralized responsibility'; (2) Statutory independence of statistical institutions and personnel; (3) Survey classification into National, Departmental, and Local surveys; (4) Mandatory 4 legal identifiers on survey forms (form number, formulating organ, approval/filing number, valid expiration date); (5) Strict confidentiality of state secrets, commercial secrets, and individual respondent identities; and (6) Legal liabilities (administrative sanctions for state personnel and statutory fines up to RMB 200,000 for enterprise data falsification or refusal to report under Article 41).

Why is this practice bank presented in English?

While the official PRC national examination is administered in Simplified Chinese, this practice module provides a rigorous, 100-question English-language MCQ study adaptation designed for international data analysts, bilingual finance and accounting professionals, cross-border corporate reporting staff, and overseas returnees preparing for China's statistical qualification. It preserves standard Chinese statistical terminology (统计指标与法律概念) in parentheses alongside clear English explanations and step-by-step mathematical calculations.