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The CUET PG 2024 Statistics (SCQP27) Question Paper and its solution PDF are available for download, along with previous years' question papers from 2023, 2022, and 2021. Shift-wise papers from 2023, including answer keys for different exam dates and language options, are also accessible.
The CUET PG 2024 Statistics exam had a revised format that reduced the total number of questions from 100 to 75 by removing the General Test section (Part A). Each subject exam lasted 105 minutes and had a total of 300 marks. Based on past years' papers, an expected topic-wise weightage for the CUET PG 2025 Statistics (SCQP27) exam has also been provided for reference.
| CUET PG Year Wise Question Paper Download | |
|---|---|
| CUET PG 2025 Question Paper | CUET PG 2024 Question Paper |
| CUET PG 2023 Question Paper | CUET PG 2022 Question Paper |
CUET PG 2024 Statistics Question Paper and Solution PDF
| Subject | Question Paper | Solution PDF |
|---|---|---|
| Statistics | Download | Check Solutions |
CUET PG Statistics Previous Years’ Question Paper (2023-2021)
The previous years’ question paper (2023-2021) of CUET PG Statistics is provided here.
CUET PG Statistics Question Paper 2023
| Paper/Subject | Medium | Date | Shift | Question Paper PDF |
|---|---|---|---|---|
| Statistics | English | June 8, 2023 | 1 | Check Here |
| Statistics | English | June 11, 2023 | 3 | Check Here |
CUET PG Statistics Question Paper 2022
| Subject | Question Paper PDF Link |
|---|---|
| Statistics | Download |
CUET PG Statistics Question Paper 2021 (PGQP29)
| Paper/Subject | Question Paper Link |
|---|---|
| PGQP29 | Download |
Expected Topic-wise Weightage for CUET PG 2025 (Statistics - SCQP27)
The expected topic-wise weightage is based on observed trends from previous years' CUET PG Statistics question papers. Here is an estimate of how different topics are likely to be weighted in the upcoming exam.
Detailed Sub-topic-wise Weightage for CUET PG 2025 (Statistics - SCQP27)
| Main Topic | Sub-Topic | Expected Weightage (%) |
|---|---|---|
| Sequences and Series | Convergence of sequences, Comparison tests, Ratio test | 4-5% |
| Differential Calculus | Limits, Continuity, Differentiability, Mean Value Theorems | 4-5% |
| Taylor's theorem, Indeterminate forms, Maxima & Minima | 3-4% | |
| Integral Calculus | Fundamental Theorems, Definite Integrals, Double & Triple Integrals | 4-5% |
| Applications - Area, Volumes, Arc Lengths | 3-4% | |
| Matrices | Rank, Inverse, System of Linear Equations | 3-4% |
| Eigenvalues, Eigenvectors, Cayley-Hamilton Theorem | 3-4% | |
| Symmetric, Skew-symmetric & Orthogonal Matrices | 2-3% | |
| Differential Equations | First Order ODEs, Linear Differential Equations | 4-5% |
| Descriptive Statistics & Probability | Measures of Central Tendency, Dispersion, Skewness | 4-5% |
| Axiomatic Probability, Conditional Probability, Bayes' Theorem | 4-5% | |
| Random Variables | Probability Mass Function (PMF), Probability Density Function (PDF) | 3-4% |
| Cumulative Distribution Function (CDF), Expectation | 3-4% | |
| Standard Distributions | Binomial, Poisson, Geometric, Hypergeometric Distributions | 4-5% |
| Normal, Gamma, Beta, Exponential, t, Chi-square & F-distributions | 4-5% | |
| Joint Distributions | Marginal, Conditional Distributions, Correlation, Regression | 3-4% |
| Limit Theorems | Weak Law of Large Numbers, Central Limit Theorem | 3-4% |
| Estimation | Unbiasedness, Efficiency, Consistency, MLE, MOM | 4-5% |
| Hypothesis Testing | Neyman-Pearson Lemma, Likelihood Ratio Tests | 3-4% |
| Sampling & Experimental Designs | SRS, Stratified Sampling, ANOVA, Factorial Designs | 3-4% |
CUET PG Statistics Question Paper Analysis (2024 vs 2023)
The CUET PG 2023 exam was more formula-based and theoretical, focusing on direct concepts and definitions. However, the CUET PG 2024 exam shifted towards application-based questions, requiring students to apply statistical concepts in real-world scenarios.
CUET PG 2023 vs. CUET PG 2024: Topic-Wise Comparison
| Topic Category | CUET PG 2023 Focus | CUET PG 2024 Focus |
|---|---|---|
| Sequences & Series | Direct questions on convergence, ratio test | Application-based questions on convergence |
| Differential Calculus | Definitions & theorems (Taylor, Mean Value) | Case-based problems requiring differentiation |
| Integral Calculus | Finding integrals directly | Applied problems on area & volume |
| Matrices | Basic properties & definitions | Application in eigenvalues & transformations |
| Probability & Statistics | Formula-based probability questions | Case-based probability applications |
| Distributions | Standard distributions & their properties | Real-world applications of normal & Poisson |
| Hypothesis Testing | Conceptual definitions of tests | Application-based testing scenarios |
| Sampling & Design of Experiments | Definitions & standard methods | Applied problems on ANOVA, RBD, Factorial Exp. |
More Focus on Real-Life Situations
First, there was a big shift towards real-life situations. In 2023, the exam primarily checked whether students had memorized formulas and definitions. But in 2024, it required students to apply statistics to real problems.
For example, rather than simply asking about probability formulas, it asked them to determine the most appropriate probability distribution for actual data.It also required them to apply what they had learned to real-world problems, such as interpreting quality control using confidence intervals or understanding economic linkages through regression. Essentially, it required students to demonstrate that they could apply what they had studied.
Less Theory, More Practice
In 2023, most questions were about recalling the formulas directly. But in 2024, there were more real-world problems that required logical thinking. Instead of asking, "What is the variance of a binomial distribution?", The question was rephrased to ask, "In a manufacturing firm, assuming defective products have a binomial distribution, what is the probability of getting at most two defective products out of ten?"
Such a question combined the formula with a real-scenario context. Similarly, the hypothesis test problems and the problems on regression were framed within practical contexts like factories or business challenges. Therefore, students had to apply concepts instead of memorizing them.
More Questions on Modern Statistical Methods
Finally, there were more questions on modern statistical techniques. While the 2023 paper included more traditional concepts like probability and hypothesis testing, 2024 covered more advanced and modern topics like data science, machine learning, and Bayesian statistics. In particular, Bayesian inference, data science applications, time series analysis, and machine learning basics were asked.
Thus, the students had to study topics such as updating probabilities using previous data, analyzing big data, detecting time series trends, and gaining knowledge of basic machine learning models. Hence, they should have been concentrating on studying these new statistical techniques, as they had become an important part of the exam.
*The article might have information for the previous academic years, which will be updated soon subject to the notification issued by the University/College.
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