The following line graph shows the ratio of the wheat production to rice production of a state in India over a period 7 years from 1999 - 2006. Answer the questions based on this data.
SNAP Data Interpretation Questions
Question 1
If the total annual grain requirement (wheat and rice together) of the state is 5 lac tons and if the rice production during 2001 was 3 lac tons, how much grain had to be imported from the other state of India to fulfill the requirement?
Solution
Given Rice production in 2001 is 3 lac tons
Wheat Production during 2001 is 0.45*3 = 1.35 lac tons
So, total grains produced is 3+1.35 = 4.35 lac tons
Hence, the additional grains to be imported is 5-4.35 = 0.65 lac tons
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Frequently Asked Questions
Yes, Data Interpretation is an important topic in SNAP Quantitative Aptitude. A strong performance in this area can significantly improve a candidate's overall score as it combines analytical thinking with numerical problem-solving skills.
SNAP does not have a fixed number of Data Interpretation questions every year. However, candidates can expect questions based on charts, tables, and graphical data as part of the quantitative section.
SNAP may include questions based on bar graphs, pie charts, line graphs, tables, caselets, and mixed data sets. These questions typically require candidates to interpret data, compare values, and perform calculations efficiently.
Start by improving your calculation speed and learning effective approximation techniques. Practice different types of Data Interpretation sets, solve questions from SNAP Previous Papers, and regularly attempt SNAP Mock Tests to improve speed and accuracy.
The difficulty level is generally easy to moderate. While calculations may be involved, most questions can be solved efficiently with proper data interpretation techniques and regular practice.
Cracku's SNAP Data Interpretation Questions are designed according to the latest SNAP exam pattern and difficulty level. They provide topic-wise practice sets, detailed solutions, shortcut methods, and performance analysis to help aspirants strengthen their data analysis skills and improve their scores.
