CUET-UG SERIES Quantitative-ability-and-data-interpretation
Data Interpretation
1 previous year questions.
Volume: 1 Ques
Yield: Medium
High-Yield Trend
1
2023 Chapter Questions 1 MCQs
01
PYQ 2023
medium
quantitative-ability-and-data-interpretation ID: cuet-ug-
The price of five different commodities for year 2018 and 2019 are as follows:
| Commodities | Price in 2018 (in โน) | Price in 2019 (in โน) |
A | 4 | 8 |
B | 3 | 9 |
C | 2 | 6 |
D | 6 | 9 |
E | 2 | 4 |
The price index number for the year 2019 with 2018 as the base year, using simple average of price relatives is:
1
230
2
203
3
233
4
320
About Data Interpretation - CUET-UG
Data Interpretation is a vital chapter for CUET-UG aspirants. Mastering the concepts covered in this chapter is essential for securing a top rank.
By rigorously practicing the previous year questions associated with this chapter, you can identify high-yield topics, understand the examiner's perspective, and boost your confidence during the actual exam.
Frequently Asked Questions
Why focus on Data Interpretation PYQs?
Analyzing PYQs for this specific chapter reveals the most frequently tested concepts and the typical complexity of questions, allowing you to tailor your study plan efficiently.
How to best use this analysis?
Review the topic breakdown to see which sub-topics within Data Interpretation carry the most weight. Then, tackle the questions iteratively to solidify your understanding.