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**CAT Quant Formulas PDF**

Competitive exams in India for MBA courses, such as the CAT (Common Admission Test), are known to test a candidate’s skills in various areas, including Quantitative Aptitude. The Quantitative Aptitude section of the CAT exam includes questions from a wide range of topics, each requiring a solid understanding of fundamental concepts and problem-solving techniques. To excel in the Quantitative Aptitude section of the CAT exam, it is crucial for candidates to have a strong grasp of important formulas. These formulas serve as powerful tools that enable candidates to solve complex mathematical problems quickly and accurately. Here is a comprehensive list of some of the most important formulas that candidates need to master in order to crack the CAT exam successfully:

1. Number Systems:

– Prime Numbers: A prime number is a natural number greater than 1 that has no positive divisors other than 1 and itself.

– Divisibility Rules: These rules help determine if a number is divisible by another number without actually performing the division.

– LCM (Least Common Multiple): The smallest positive integer that is divisible by two or more given numbers.

– HCF (Highest Common Factor): The largest positive integer that divides two or more given numbers without leaving any remainder.

2. Profit, Loss, and Discount:

– Profit Percentage: The percentage of profit earned on the cost price of an item.

– Loss Percentage: The percentage of loss incurred on the cost price of an item.

– Marked Price: The original price of an item before any discount is applied.

– Selling Price: The price at which an item is sold after deducting the discount.

3. Time and Work:

– Work Efficiency: The rate at which work is done by an individual or a group.

– Work Done: The amount of work completed in a given time period.

– Time Taken: The duration required to complete a certain amount of work.

– Work Ratio: The ratio of work done by different individuals or groups.

4. Averages:

– Arithmetic Mean: The sum of all the values in a set divided by the number of values.

– Weighted Average: An average where different values have different weights or importance.

5. Logarithm:

– Logarithmic Function: The inverse function of exponentiation.

-Logarithmic Laws: Rules that govern the manipulation of logarithmic expressions.