What is CUET-PG Statistics?
CUET-PG Statistics (Test Paper Code: SCQP27) is conducted by the National Testing Agency (NTA) for postgraduate admissions into M.Sc. Statistics, M.Sc. Applied Statistics, and Bio-Statistics.
The test encompasses comprehensive undergraduate statistical theory, including Probability Models, Descriptive Statistics, Statistical Inference, Sampling Methods, Design of Experiments, Linear Models, and Calculus with Matrices.
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CUET-PG Statistics Exam Pattern
| Component | Topic Scope | Questions | Marks/Q | Total Marks |
|---|---|---|---|---|
| Domain Statistics | Probability, Univariate & Multivariate Distributions, Inference, Sampling, Design of Experiments, Linear Models | 75 | 4 | 300 Marks |
Statistics Syllabus Modules
Probability & Random Variables
Probability axioms, conditional probability, Bayes' rule, random variables, expectation, variance, moments, and moment generating functions.
Statistical Distributions
Discrete & continuous distributions: Binomial, Poisson, Geometric, Hypergeometric, Uniform, Normal, Exponential, Gamma, Beta, Cauchy, Bivariate Normal.
Statistical Inference
Point estimation, unbiasedness, consistency, efficiency, sufficiency, MLE, method of moments, interval estimation, Neyman-Pearson lemma, likelihood ratio tests.
Sampling Techniques
Simple random sampling (with & without replacement), stratified sampling, systematic sampling, cluster sampling, ratio and regression estimators.
Design of Experiments & ANOVA
Analysis of variance (one-way and two-way), principles of experimental design, CRD, RBD, LSD, missing plot techniques, and 2^k factorial experiments.
Linear Algebra & Calculus
Vector spaces, linear transformations, matrices, determinants, rank, eigenvalues, maxima-minima, multiple integrals, and beta-gamma functions.
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