The GATE Statistics Syllabus 2027 covers the core concepts of probability, statistical inference, regression, multivariate analysis, stochastic processes, and related areas of statistics. Candidates preparing for the GATE Statistics exam 2027 should understand the complete syllabus and plan their preparation according to the weightage and difficulty level of different topics.
The syllabus helps candidates identify important subjects, select the right study material, and create an effective preparation strategy for the GATE Statistics 2027 exam.
No Result Found
GATE Statistics Paper Pattern
Particulars | Details |
|---|---|
Exam Name | GATE Statistics 2027 |
Paper Code | ST |
Mode of Examination | Computer-Based Test (CBT) |
Duration | 3 Hours |
Total Marks | 100 |
Question Types | MCQ, MSQ and NAT |
General Aptitude | 15 Marks |
Statistics | 85 Marks |
Total Questions | 65 |
The GATE Statistics 2027 question paper consists of General Aptitude and Statistics sections. Candidates should practise numerical and conceptual questions to improve both accuracy and time management.
Question Type | Marks | Negative Marking |
|---|---|---|
MCQ | 1 Mark | 1/3 mark for an incorrect answer |
MCQ | 2 Marks | 2/3 mark for an incorrect answer |
MSQ | 1 or 2 Marks | No negative marking |
NAT | 1 or 2 Marks | No negative marking |
Important Points About GATE Statistics Marking Scheme
- The GATE Statistics paper carries 100 marks in total.
- Questions may carry 1 mark or 2 marks.
- Negative marking is applicable to incorrect MCQ responses.
- There is no negative marking for MSQ and NAT questions.
- No marks are deducted for unanswered questions.
- Candidates should avoid random guessing in MCQs because incorrect answers can reduce their overall score.
Probability and Random Variables
- Conditional probability
- Bayes' theorem
- Random variables
- Expectation and moments
- Joint and conditional distributions
- Covariance and correlation
Probability Distributions
- Binomial distribution
- Poisson distribution
- Normal distribution
- Exponential distribution
- Gamma distribution
- Beta distribution
- Chi-square distribution
- t-distribution
- F-distribution
Statistical Inference
- Point estimation
- Maximum Likelihood Estimation
- Method of Moments
- Sufficiency
- Completeness
- Confidence intervals
- Hypothesis testing
- Neyman-Pearson lemma
- Likelihood ratio tests
Regression Analysis
- Simple linear regression
- Multiple linear regression
- Least squares estimation
- Correlation
- Analysis of variance
- Residual analysis
Design of Experiments
- Completely Randomized Design
- Randomized Block Design
- Latin Square Design
- Analysis of variance
Multivariate Analysis
- Multivariate normal distribution
- Mean vectors
- Covariance matrices
- Principal Component Analysis
- Quadratic forms
Stochastic Processes
- Markov chains
- Transition probabilities
- Classification of states
- Stationary distributions
- Poisson processes
- Renewal processes
How to Prioritize GATE Statistics Important Topics
For effective GATE Statistics preparation 2027, candidates should first strengthen the fundamentals of probability, distributions, and statistical inference. After completing these topics, focus on regression, design of experiments, multivariate analysis, and stochastic processes.
Regular practice of previous year questions is recommended because it helps identify frequently tested concepts and improves problem-solving speed.
Note: Candidates should always verify the final GATE 2027 official exam pattern and marking scheme from the official GATE website when the information is released or updated.