Key Takeaways
- The Statistics paper (Paper-III) is crucial for candidates applying for Junior Statistical Officer (JSO) roles in SSC CGL Tier 2.
- It consists of 100 questions worth 200 marks, with a duration of 2 hours.
- Key topics include Collection of Data, Measures of Central Tendency, Probability Theory, and Statistical Inference among others.
- Candidates must know distributions such as Binomial, Poisson, and Normal for effective preparation.
- Revision should focus on Measures of Dispersion and concepts like Moments, Skewness, and Kurtosis.
The Statistics paper (Paper-III) of SSC CGL Tier-2 is conducted only for candidates applying for the post of Junior Statistical Officer (JSO). This paper is held in online mode, contains 100 questions for a total of 200 marks, and the duration is 2 hours. In this blog, you can check the important topics for the Statistics paper to help boost your preparation for SSC CGL Tier-2 2025.
Important Statistics topics for SSC CGL Tier 2 Exam
Candidates applying for the Junior Statistical Officer (JSO) post must prepare thoroughly for the Statistics paper in Tier-2. Below is a list of important topics covered in the syllabus, which are essential for scoring well.
| Unit | Topic |
| 1. Collection, Classification & Presentation of Statistical Data | Meaning, types of data, primary & secondary data, frequency distribution, tabulation, diagrammatic representation. |
| 2. Measures of Central Tendency | Mean, Median, Mode, Geometric & Harmonic Mean, Weighted Mean. |
| 3. Measures of Dispersion | Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation. |
| 4. Moments, Skewness & Kurtosis | Types of moments, coefficient of skewness, coefficient of kurtosis, shape of distribution. |
| 5. Correlation & Regression | Scatter diagrams, Karl Pearson’s coefficient, Spearman’s rank correlation, regression lines, multiple correlation. |
| 6. Probability Theory | Basic definitions, addition & multiplication theorems, conditional probability, Bayes’ theorem. |
| 7. Random Variables & Probability Distributions | Random variables, binomial, Poisson, normal, exponential, and joint distributions. |
| 8. Sampling Theory | Population and sample, sampling techniques, errors, sampling distributions, central limit theorem. |
| 9. Statistical Inference | Estimation, testing of hypotheses, standard errors, t-test, z-test, chi-square test, F-test. |
| 10. Analysis of Variance | One-way classification, Two-way classification |
| 11. Time Series Analysis | Trend determination, Seasonal variation |
| 12. Index Numbers | Construction, Types, Formulae, Uses (e.g., cost of living index) |
SSC CGL Exam Overview
The SSC CGL Exam Combined Graduate Level (CGL) exam is one of the most popular government exams in India. It is conducted every year to recruit candidates for various Group B and C posts in different ministries and departments under the Government of India.
| Particulars | Details |
| Name | Staff Selection Commission Combined Graduate Level (SSC CGL) |
| Conducted by | Staff Selection Commission (SSC) |
| Exam Level | National |
| Frequency | Yearly |
| Exam Mode | Online (Tier‑1 & Tier‑2 CBT); Offline (Tier‑3 descriptive) |
| Exam Duration | Tier‑1: 60 minutesTier‑2: 120 minutes per paper (Paper‑I, II, III, IV where applicable)Tier‑3: 60 minutes |
| Purpose of Exam | To select candidates for Group B and C posts across various Government of India departments |
| Language | English and Hindi |
| Exam Helpdesk No. | 011‑69999845 |
| Official Website | https://ssc.gov.in |
SSC CGL Tier 2 Exam Pattern
The SSC CGL Exam Pattern has Tier 2 stage and the table below shows the details.
| Session | Subject | Questions & Marks | Time |
| Paper 1 Session I | Section I Module I – Mathematical Abilities Module II – Reasoning and General Intelligence | 30 30 60 x 30 = 180 | 1. 1 hour (with sectional timer of 30 minutes for each subject) 2. 1 hours and 20 minutes (with sectional timer of 30+10=40 minutes for each subject) for the candidates eligible for scribe |
| Section II Module I – English Language Comprehension Module II – General Awareness | 45 25 70 x 3 = 210 | 1. 1 hour (with sectional timer of 40 minutes for Subject A i.e. English Language & Comprehension and 20 minutes for Subject B i.e. General Awareness) 2. 1 hours and 20 minutes(with sectional timer of 40+15=55 minutes for Subject A i.e. English Language & Comprehension and 20+5=25 minutes for Subject B i.e. General Awareness) for the candidates eligible for scribe | |
| Section III Module – I – Computer Knowledge module | 20 x 3 = 60 | 1. 15 Minutes (For Section-III & IV each) 2. 20 minutes for the candidates eligible for scribe | |
| Session II (15 minutes) | Module – II: Data Entry Speed Test | One data entry task | |
| Paper 2 | FOR JSO: Paper 2 – Statistics | 100 x 2 = 200 | 1. 2 hours 2. 2 hours and 40 minutes for the candidates eligible for scribe |
| Paper 3 | FOR AAO: Paper 3 – General Studies (Finance and Economics) | 100 x 2 = 200 | 1. 2 hours 2. 2 hours and 40 minutes for the candidates eligible for scribe |
- SSC CGL Tier 2 Paper 1 is conducted in two sessions on the same day.
- Paper 1 is compulsory for all candidates.
- Paper 2 is only for candidates applying for the JSO post.
- Sectional timing has been introduced in the examination.
- All questions are objective type (MCQs) except DEST.
- The exam is conducted in both Hindi and English except the English Language section.
- Negative marking is 1 mark in Paper 1 and 0.50 mark in Paper 2.
- Computer Knowledge and DEST modules are qualifying in nature.
- DEST requires 2,000 key depressions in 15 minutes.
SSC CGL JSO Statistics Paper (Tier-2) -FAQs
Ans: It is a 2-hour online test with 100 questions worth 200 marks, covering core Statistics topics.
Ans: Probability Theory, Statistical Inference, and Correlation & Regression are heavily tested.
Ans: Binomial, Poisson, Normal, and Exponential distributions, including expectation and variance.
Ans: Understand formulas for raw & central moments, plus standard measures of skewness and kurtosis.
Ans: Practice range, mean deviation, standard deviation, and relative dispersion problems.
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