CAT Exam > CAT Videos > Quantitative Aptitude (Quant) > Alligation and Mixture: Finding the value of X?
Alligation and Mixture: Finding the value of X? Video Lecture | Quantitative Aptitude (Quant) - CAT
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FAQs on Alligation and Mixture: Finding the value of X? Video Lecture - Quantitative Aptitude (Quant) - CAT
| 1. What is the concept of alligation in mixtures? |  |
Ans.Alligation is a method used to find the ratio in which two or more ingredients at different prices must be mixed to obtain a mixture at a given price. It involves using a simple formula to calculate how to combine different quantities of substances to achieve a desired average.
| 2. How do you calculate the value of X in an alligation problem? | |
Ans.To calculate the value of X in an alligation problem, you first determine the cost or value of the individual components. Then, you set up the alligation chart by placing the costs of each component on top and the mean cost at the bottom. The difference between the mean cost and each component's cost gives the required ratio for mixing.
| 3. Can alligation be used for both prices and percentages in mixtures? | |
Ans.Yes, alligation can be applied to both prices and percentages. Whether you are dealing with the cost of items or percentages of ingredients in a mixture, the principle remains the same: you compare the differences to find the appropriate ratios for mixing.
| 4. What is the significance of the mean price in alligation problems? | |
Ans.The mean price in alligation problems is the target price or value that you want to achieve through the mixture of different components. It serves as a reference point to help calculate how much of each component is needed to reach the desired average.
| 5. Are there any common mistakes to avoid when solving alligation problems? | |
Ans.Common mistakes include miscalculating the differences between the component prices and the mean price, forgetting to maintain the ratio when combining components, and not double-checking the final mixture value against the intended target. Careful attention to detail is essential for accurate results.
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Dec 22, 2024 Last updated |
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