The unitary method is a mathematical concept that involves solving problems by finding the value of a single unit, and then using this value to find the value of other units. This method is commonly used in solving problems related to proportion, rate, and percentage. The unitary method is important for competitive exam students because it provides a simple and efficient way to solve complex problems involving multiple units.
Competitive exams such as RBI Grade B, RBI Assistant, SEBI Grade A, IBPS SO, IBPS PO, IBPS Clerk, SBI PO, SBI Clerk, LIC AAO, SSC CGL, and SSC CHSL often include questions related to the unitary method. Therefore, mastering this concept can significantly improve a student's chances of success in these exams. Practice and familiarity with unitary method problems through mock tests and sample questions is crucial for students to excel in their exams.
Example Of Unitary Method MCQ Question
If 4 workers can complete a job in 10 days, how many days will it take for 6 workers to complete the same job?
A) 6 days
B) 8 days
C) 9 days
D) 12 days
To solve this problem using the unitary method, we need to find the value of one unit of work, which is the amount of work one worker can do in one day.
If 4 workers can complete the job in 10 days, then we can calculate the value of one unit of work as follows:
4 workers x 10 days = 40 units of work
Therefore, the value of one unit of work is 40/4 = 10 units of work per day.
To find out how many days 6 workers will take to complete the same job, we can use the unitary method again:
6 workers x number of days = 40 units of work
Number of days = 40/6 = 6.67 days (approximately)
:- Therefore, the answer is (A) 6 days.
ixamBee offers Unitary Method mock tests and study material to help students preparing for competitive exams to practice and improve their skills in solving problems related to proportion, rate, and percentage. These tests include a variety of questions and MCQs, allowing students to gain confidence and mastery in using the unitary method to solve complex problems.