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CUET PG Statistics Syllabus 2027, Exam Pattern
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CUET PG Statistics Syllabus 2027, Exam Pattern
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CUET PG Statistics Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about CUET PG has published notification 2027 for this exam of Statistics (SCQP27) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Exam with Latest Update Exam Pattern and the Exam
CUET PG Syllabus 2027 - Overview
| Full Exam Name | Central Universities Entrance Test (CUET) |
| Conducting Body | National Testing Agency (NTA) |
| Frequency of Conduct | Once a year |
| Exam Level | University Level |
| Courses Offered | Postgraduate |
| Mode of Application | Online |
| Mode of Exam | Online (Computer-based Test) |
| Type of questions | Multiple-choice questions |
| Category | Syllabus and Exam Pattern |
| Official website | https://cuet.nta.nic.in/ |
CUET PG Statistics Syllabus 2027
Statistics (SCQP27) :
1. Sequences and Series : Convergence of sequences of real numbers, Comparison, root and ratio tests for convergence of series of real numbers
2. Differential Calculus : Limits, continuity and differentiability of functions of one and two variables. Rolle's Theorem, mean value theorems, Taylor's theorem, indeterminate forms, maxima and minima of functions of one and two variables
3. Integral Calculus : Fundamental theorems of integral calculus. Double and triple integrals, applications of definite integrals, arc lengths, areas and volumes
4. Matrices : Rank, inverse of a matrix. Systems of linear equations. Linear transformations, eigenvalues and eigenvectors. Cayley‐Hamilton theorem, symmetric, skew‐symmetric and orthogonal matrices
5. Differential Equations : Ordinary differential equations of the first order of the form y' = f(x,y). Linear differential equations of the second order with constant coefficients
6. Descriptive Statistics and Probability : Measure of Central tendency, Measure of dispersion, skewness and Kurtosis, Elementary analysis of data. Axiomatic definition of probability and properties, conditional probability, multiplication rule. Theorem of total probability. Bayes’ theorem and independence of events
7. Random Variables : Probability mass function, probability density function and cumulative distribution functions, distribution of a function of a random variable. Mathematical expectation, moments and moment generating function. Chebyshev's inequality
8. Standard Distributions : Binomial, negative binomial, geometric, Poisson, hyper- geometric, uniform, exponential, gamma, beta and normal distributions. Poisson and normal approximations of a binomial distribution. Chi-square distribution, t-distribution and F-distribution
9. Joint Distributions : Joint, marginal and conditional distributions. Distribution of functions of random variables. Product moments, correlation, simple linear regression. Independence of random variables Limit Theorems: Weak law of large numbers. Central limit theorem (i.i.d. with finite variance case only)
10. Estimation: Unbiasedness, consistency and efficiency of estimators, method of moments and method of maximum likelihood. Sufficiency, factorization theorem. Completeness, Rao‐ Blackwell and Lehmann‐Scheffe theorems, uniformly minimum variance unbiased estimators. Rao‐Cramer inequality. Confidence intervals for the parameters of univariate normal, two independent normal, and one parameter exponential distributions
11. Testing of Hypotheses : Basic concepts, applications of Neyman‐Pearson Lemma for testing simple and composite hypotheses. Likelihood ratio tests
12. Sampling and Designs of Experiments : Simple random sampling, stratified sampling and Cluster sampling, One-way, two-way analysis of variance. CRD, RBD, LSD and 2² and 2³ factorial experiments
2. Differential Calculus : Limits, continuity and differentiability of functions of one and two variables. Rolle's Theorem, mean value theorems, Taylor's theorem, indeterminate forms, maxima and minima of functions of one and two variables
3. Integral Calculus : Fundamental theorems of integral calculus. Double and triple integrals, applications of definite integrals, arc lengths, areas and volumes
4. Matrices : Rank, inverse of a matrix. Systems of linear equations. Linear transformations, eigenvalues and eigenvectors. Cayley‐Hamilton theorem, symmetric, skew‐symmetric and orthogonal matrices
5. Differential Equations : Ordinary differential equations of the first order of the form y' = f(x,y). Linear differential equations of the second order with constant coefficients
6. Descriptive Statistics and Probability : Measure of Central tendency, Measure of dispersion, skewness and Kurtosis, Elementary analysis of data. Axiomatic definition of probability and properties, conditional probability, multiplication rule. Theorem of total probability. Bayes’ theorem and independence of events
7. Random Variables : Probability mass function, probability density function and cumulative distribution functions, distribution of a function of a random variable. Mathematical expectation, moments and moment generating function. Chebyshev's inequality
8. Standard Distributions : Binomial, negative binomial, geometric, Poisson, hyper- geometric, uniform, exponential, gamma, beta and normal distributions. Poisson and normal approximations of a binomial distribution. Chi-square distribution, t-distribution and F-distribution
9. Joint Distributions : Joint, marginal and conditional distributions. Distribution of functions of random variables. Product moments, correlation, simple linear regression. Independence of random variables Limit Theorems: Weak law of large numbers. Central limit theorem (i.i.d. with finite variance case only)
10. Estimation: Unbiasedness, consistency and efficiency of estimators, method of moments and method of maximum likelihood. Sufficiency, factorization theorem. Completeness, Rao‐ Blackwell and Lehmann‐Scheffe theorems, uniformly minimum variance unbiased estimators. Rao‐Cramer inequality. Confidence intervals for the parameters of univariate normal, two independent normal, and one parameter exponential distributions
11. Testing of Hypotheses : Basic concepts, applications of Neyman‐Pearson Lemma for testing simple and composite hypotheses. Likelihood ratio tests
12. Sampling and Designs of Experiments : Simple random sampling, stratified sampling and Cluster sampling, One-way, two-way analysis of variance. CRD, RBD, LSD and 2² and 2³ factorial experiments
CUET PG Statistics Exam Pattern 2027
Statistics (SCQP27)
Duration : 90 Minutes
Negative Marking : 01
Medium : English and Hindi
Correct Answer : 4 marks will be awarded for each correct response.
| S.No | Subject | No.of Question | Marks |
| 1. | Statistics | 75 | 300 |
| Total | 75 | 300 |
CUET PG Exam Date 2027 : March to April 2027 (Tentative)
Starting Date of Application Form : January 2027
Last Date of Application Form : February 2027
FAQs
CUET Pg Statistics 2027 Exam Syllabus Frequently Asked Questions (FAQ's)
Here at Toppersexam.com , you can practice a complete set of Imporatnt Questions (MCQ) along with a Free CUET PG Statistics MCQ designed by our expert faculty.
In this article Page, we have provided the required syllabus of the CUET PG Statistics exam.
Being familiar with CUET PG Statistics Exam Pattern will help you understand the types of questions asked, difficulty level of the exam and important topics that require your keen attention. It will also acquaint you with the marking scheme and time allotted to each Topics.
CUET PG Statistics syllabus pdf download option is available here which will help you to get the PDF saved in your device that you can access anytime. It consists of a complete syllabus of CUET PG Statistics which you can refer to while preparing for the exams.
CUET PG Statistics exam is not tough but it depends on your preparation. The candidates find the Subject not challenging. The dedicated preparation in the right direction will undoubtedly take you towards the goal.
The candidates must be well versed and acquainted with the syllabus and the exam pattern. Select the areas where improvement is required and schedule your preparation accordingly. To ace this exam, the applicants ought to maintain speed with high accuracy. Practicing previous years question papers will help you understand the exam pattern and the level of difficulty of the exam. You need to hone your strengths and improve upon your weaknesses. Toppersexam.com will aid you through the preparation and drive you to success. At Toppersexam.com, you can practice a complete set of test series along with a free CUET PG Statistics mock test designed by our expert faculty.
The syllabus of CUET PG Statistics Exam includes all topics that are important for the exam and are necessary for thorough preparation. Toppersexam provides a complete and updated syllabus with a detailed topic-wise breakdown.
You can download the complete CUET PG Statistics Exam syllabus PDF from toppersexam.com. The PDF is available free and includes a detailed list of topics, section-wise subjects, and weightage for better exam preparation.
Yes, CUET PG Statistics Exam has a topic-wise syllabus that includes all relevant subtopics. Toppersexam provides the detailed breakdown, helping candidates focus on high-weightage areas and avoid missing important sections.
Toppersexam ensures that the CUET PG Statistics syllabus is updated for 2026. The latest syllabus reflects current exam trends, question patterns, and updated topics as per official notifications.
The CUET PG Statistics Exam pattern includes details like the number of sections, total questions, marks distribution, and exam duration. Toppersexam provides a comprehensive guide on exam format, marking scheme, and question types.
Yes, the majority of questions in CUET PG Statistics Exam are MCQs. Toppersexam provides practice MCQs with answers to help candidates understand the question pattern and improve accuracy.
Yes, questions are divided section-wise. Toppersexam provides a clear guide on how many questions are asked per section and their difficulty level for effective preparation.
Yes, Toppersexam offers online mock tests that strictly follow the CUET PG Statistics Exam pattern. These mocks help candidates practice time management and get real-exam experience.
Yes, exam patterns can change over time. Toppersexam provides updated information on the latest exam pattern, question types, and section-wise changes.
Understanding the exam pattern is crucial for time management, question prioritization, and strategy planning. Toppersexam guides candidates on how to use the pattern effectively to maximize scores.
Start by dividing the syllabus into sections and prioritizing high-weightage topics. Toppersexam provides a preparation strategy, along with topic-wise tips and sample questions to make syllabus analysis easier.
Yes, focusing on high-weightage topics improves efficiency. Toppersexam highlights important topics, helping candidates prioritize sections for better performance.
Toppersexam provides a free downloadable PDF that includes both the syllabus and detailed exam pattern. This helps candidates study offline and revise efficiently.