Data Sufficiency is a unique challenge in competitive exams. Almost every test includes Data Sufficiency questions, making it crucial to get comfortable with this format. Many aspirants rely on guesswork, but a structured approach can significantly improve accuracy and speed.
A typical Data Sufficiency (DS) question consists of:
Example Question:
Is x a prime number if x is positive?
The answer options for DS questions remain constant:
Step 1: Evaluate Statement 1:
Step 2: Evaluate Statement 2:
Step 3: Combine Statements:
What is the total weight of 10 poles, each of the same weight?
How much was the total sale of the company?
Solution:
How many children are between P and Q in a row?
Solution:
At first, Data Sufficiency can feel intimidating. However, with practice and strategic thinking, you can solve these questions efficiently. Focus on determining sufficiency, not calculating answers, and apply structured techniques for accuracy.