Data Interpretation UGC NET - How to solve data interpretation problems quickly? If you are writing the NTA UGC NET exam, here are the tricks to solve the data interpretation section in UGC NET.
2. Data Interpretation is one of the most important and easy topics for the
UGC NET Paper 1 Exam. It holds around 10 marks in the exam with the
occurrence of 5 questions from this single section.
The Data Interpretation questions that come in UGC NET are not as
tough as in the Government Competitive Exams, but their difficulty level
remains high.
3. Tricks to Solve Data Interpretation Section in
UGC NET
UGC NET Data Interpretation questions
would never be as easier as you think. From
moderate to from high difficulty level, the
questions picked from Data Interpretation
section would always be tricky to solve.
4. Important Topics under UGC NET General Aptitude Data Interpretation
Section
As per the UGC NET Syllabus for paper 1, there are around 10-12 major topics for exam perspective.
• Sources, acquisition, and interpretation of data
• Quantitative and qualitative data
• Graphical representation and mapping of data
• Bar Chart
• Gantt Chart
• Line Chart
• Pie Chart
• Polygraphs
• Maps
• Pictograms
• Flow Chart and Organization Chart
5. Out of the above topics, the students can start
study/practice DI questions in the following order –
• Table based DI
• Pie Chart
• Line Graph
• Bar Chart
6. Solve Data Interpretation Questions in Minutes
with These Experts Recommended Techniques
1. The majority of questions asked in the Data interpretation, Section is based on the
following topics of the Arithmetic Section.
(i) Ratios
(ii) Averages
(iii) Percentage
If the basics of these topics are clear, attempting DI in the UGC NET Question
Paper becomes comparatively easy.
2. Data Interpretation questions are based on the information given in tables and
graphs.
These questions test your ability to interpret the information presented and to select the
appropriate data for answering a question.
7. 3. Analyze and read the given question as well as its information carefully. This will help you
in framing the right answer within minutes.
4. Avoid lengthy calculations! Generally, data interpretation questions do not require
extensive calculations and computations.
Most questions simply require reading the data correctly and putting things together to use
them directly with common sense.
5. Break down lengthy questions into smaller parts and eliminate impossible choices.
6. Use only the information given and your knowledge of everyday facts, such as the
number of hours in a day, to answer the questions based on tables and graphs.
7. Stick to the question and its requirements. Don’t go with the assumptions, otherwise, you
may lead to the wrong answer and lose your marks.
8. Be careful while dealing with units.
9. To make reading easier and to avoid errors, observe graphs while keeping them straight.
8. 10. Be prepared to apply basic mathematical rules, principles and formulae.
11. Since one of the major benefits of graphs and tables is that they present data in a form
that enables you to readily make comparisons. Use this visual attribute of graphs and tables
to help you answer the questions. Where possible, use your eyes instead of your
computational skills.
12. Practice, Practice, Practice: The last but the most important piece of advice. Practicing
questions will help you in two ways:
9. UGC NET Paper 1
Data
Interpretation -
Daily Time
Management Plan
for 15 Days of
Learning
Spend 2 hours daily till 15 days
and you’re done with the UGC
NET Paper 1 Data Interpretation
Topic. Try to save morning and
evening hours for better
practicing.
UGC NET Papers
Paper 1 Question Papers 2020 (June)
Paper 1 Question Papers 2019 (June & December)
General Paper 1 Questions 2018 (July & December)
10. Thank You!
Also, check out the Last-minute tips for UGC NET Exam to never skip the
things which can boost your scores only with the last-minute preparation.
We hope that the Data Interpretation Guide for NTA NET General Paper 1
would surely help you in mastering the formulas, methods, and core
concepts.
If you have any queries then please drop us them in the comments box below.