Key Takeaways
- The SSC CGL Statistics Syllabus 2026 includes 12 units covering key statistical concepts like data collection, probability, and statistical inference.
- Candidates must prepare at a graduation level, as questions will reflect this standard in Paper-II of Tier-II.
- The exam consists of 100 multiple-choice questions, carrying a total of 200 marks, with a duration of 2 hours and negative marking for incorrect answers.
- Only candidates shortlisted for Junior Statistical Officer and Statistical Investigator Grade-II posts need to appear for the Statistics Paper-II.
- Minimum qualifying marks vary by category, with UR candidates needing 30%, OBC/EWS needing 25%, and other categories requiring 20%.
The SSC CGL Statistics Syllabus 2026 covers statistical concepts such as data collection, measures of central tendency, probability, sampling, statistical inference, correlation, regression and time series. The Statistics paper forms part of Tier-II and is conducted only for candidates shortlisted for the specified statistical posts under SSC CGL. This blog covers the complete SSC CGL Statistics syllabus, Paper-II exam pattern, topic-wise syllabus and important preparation points for SSC CGL 2026.
SSC CGL Statistics Syllabus 2026
The SSC CGL Syllabus 2026 for Statistics consists of 12 broad units covering descriptive statistics, probability, sampling, distributions and statistical inference. Candidates should prepare the syllabus at graduation level because SSC specifically states that Paper-II questions will be based on this standard.
| Unit | Topics covered |
|---|---|
| 1. Collection, Classification & Presentation of Statistical Data | Primary and secondary data, methods of data collection, tabulation, graphs, charts, frequency distributions and diagrammatic presentation |
| 2. Measures of Central Tendency | Mean, median, mode, quartiles, deciles and percentiles |
| 3. Measures of Dispersion | Range, quartile deviation, mean deviation, standard deviation and measures of relative dispersion |
| 4. Moments, Skewness & Kurtosis | Types of moments, relationship between moments, meaning and measures of skewness and kurtosis |
| 5. Correlation & Regression | Scatter diagram, simple correlation coefficient, regression lines, Spearman’s rank correlation, association of attributes, multiple regression, multiple and partial correlation |
| 6. Probability Theory | Meaning and definitions of probability, conditional probability, compound probability, independent events and Bayes’ theorem |
| 7. Random Variables & Probability Distributions | Random variables, probability functions, expectation, variance, higher moments, Binomial, Poisson, Normal and Exponential distributions, joint distribution |
| 8. Sampling Theory | Population and sample, parameter and statistic, sampling and non-sampling errors, probability and non-probability sampling, sampling distribution and sample-size decisions |
| 9. Statistical Inference | Point and interval estimation, properties of estimators, estimation methods, hypothesis testing, Z, t, Chi-square and F tests, confidence intervals |
| 10. Analysis of Variance | One-way and two-way classified data |
| 11. Time Series Analysis | Components of time series, trend determination and measurement of seasonal variation |
| 12. Index Numbers | Meaning, construction problems, types, formulae, base shifting, splicing, cost of living index and uses |
What is the SSC CGL Statistics Paper-II exam pattern?
SSC CGL Statistics is conducted as Paper-II in Tier-II. The paper contains 100 multiple-choice questions, with each question carrying 2 marks. Candidates receive 2 hours to attempt the paper, and 0.50 mark is deducted for every incorrect response.
| Particular | SSC CGL Statistics Paper-II |
|---|---|
| Exam stage | Tier-II |
| Paper | Paper-II |
| Subject | Statistics |
| Number of questions | 100 |
| Maximum marks | 200 |
| Marks per question | 2 |
| Duration | 2 hours |
| Scribe-eligible candidates | 2 hours 40 minutes |
| Question type | Objective-type MCQs |
| Negative marking | 0.50 mark per wrong answer |
| Difficulty level | Graduation level |
Who has to appear for SSC CGL Statistics Paper-II?
SSC CGL Statistics Paper-II is not compulsory for every SSC CGL candidate. SSC conducts this paper only for candidates who applied for and are shortlisted in Tier-I for the Junior Statistical Officer and Statistical Investigator Grade-II posts. All candidates appearing for these posts must also appear in Paper-I of Tier-II.
| Post | Statistics Paper-II required? |
|---|---|
| Junior Statistical Officer (JSO) | Yes |
| Statistical Investigator Grade-II | Yes |
| Other SSC CGL posts | No |
This is an important correction from older versions of the article that mentioned Statistics Paper-II only for JSO candidates.
What are the qualifying marks for SSC CGL Statistics Paper-II?
SSC has prescribed minimum qualifying marks for Tier-II Paper-II along with the other applicable papers. These are minimum qualifying standards; actual selection cut-offs may be higher depending on vacancies, category and candidate performance.
| Category | Minimum qualifying marks |
|---|---|
| UR | 30% |
| OBC/EWS | 25% |
| All other categories | 20% |
What topics are covered in SSC CGL Statistics Syllabus 2026?
The SSC CGL Statistics Syllabus 2026 covers 12 major units ranging from basic data presentation to advanced topics such as probability distributions, sampling, statistical inference, ANOVA, time series and index numbers. Candidates should prepare both conceptual and numerical aspects of these units because Paper-II tests graduation-level Statistics through objective-type questions.
| Unit | Topics covered |
|---|---|
| Collection, Classification and Presentation of Statistical Data | Primary and secondary data, methods of data collection, tabulation, graphs, charts, frequency distributions and diagrammatic presentation |
| Measures of Central Tendency | Mean, median, mode, quartiles, deciles and percentiles |
| Measures of Dispersion | Range, quartile deviation, mean deviation, standard deviation and measures of relative dispersion |
| Moments, Skewness and Kurtosis | Different types of moments, relationship between moments, meaning and measures of skewness and kurtosis |
| Correlation and Regression | Scatter diagram, simple correlation coefficient, regression lines, Spearman’s rank correlation, association of attributes, multiple regression, multiple correlation and partial correlation |
| Probability Theory | Meaning and definitions of probability, conditional probability, compound probability, independent events and Bayes’ theorem |
| Random Variables and Probability Distributions | Random variables, probability functions, expectation, variance, higher moments, Binomial, Poisson, Normal and Exponential distributions, joint distribution of two discrete random variables |
| Sampling Theory | Population, sample, parameter, statistic, sampling and non-sampling errors, probability and non-probability sampling, sampling distributions and sample-size decisions |
| Statistical Inference | Point and interval estimation, properties of estimators, method of moments, maximum likelihood, least squares, hypothesis testing, Z-test, t-test, Chi-square test, F-test and confidence intervals |
| Analysis of Variance | Analysis of one-way and two-way classified data |
| Time Series Analysis | Components of time series, determination of trend and measurement of seasonal variation |
| Index Numbers | Meaning, construction, types, formulae, base shifting, splicing, Cost of Living Index and uses of index numbers |
FAQs
The syllabus includes 12 major areas covering statistical data, central tendency, dispersion, moments, correlation and regression, probability, distributions, sampling, statistical inference, ANOVA, time series and index numbers.
No. Statistics Paper-II is required only for candidates shortlisted for Junior Statistical Officer and Statistical Investigator Grade-II posts.
SSC CGL Statistics Paper-II contains 100 questions.
The paper carries a maximum of 200 marks, with each question worth 2 marks.
Paper-II is an objective-type Multiple Choice Question paper.
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