We usually deal with a lot of equations in the Quant Section equating RHS and LHS. In inequalities, we do have LHS and RHS but these are not equal, any of the following case is possible: LHS >= RHS ; LHS > RHS ; LHS < RHS ; LHS <= RHS  Basic rules of operations on inequality: We can add or subtract same number from both sides with no change in the truth of the inequality. If a > b, then a+k > b+k e.g. If 8 > 6 then 8 + 2 > 6 + 2 and if 9 < 5 then 9 - 3 < 5 - 3 We can multiply or divide both sides with the same number, however the sign will depend

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In a series of posts, we are going to cover the basics of some DI/LR topics. The first topic of discussion is Binary Logic. In a binary logic problem, we have people who either speak a true statement or a false statement. These people are divided into three categories: Truth-teller: This person will always speak the truth. All the statements made by this person are true. Liar: This person will always tell a lie. All statements made by this person are false. Alternator: This person always alternates between the truth and the lie. If first statement of this person is true, then se

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What are the chances that it will rain today? Which team has odds in favor in today’s cricket match? What is the probability that Sensex will close above 30K today? All these questions pointed towards the chance, the likelihood of happening the uncertain event. And to determine this chance there’s a technique, a special mathematical and statistical subject entirely related to this known as Probability. Probability is nothing else but a chance that some event might occur. More formally, it calculates a numerical value between 0 and 1 that represents the likelihood that an event might occu

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Data Interpretation questions typically have large amount of data given in the form of tables, pie charts, line graphs or some non-conventional format. The questions are calculation heavy and typically test your approximation abilities. A very large number of these questions check your ability to compare or calculate fractions and percentages. If you sit down to actually calculate the answer, you would end up spending more time than required and most of us can't afford to lose precious time during competitive exams like CAT, XAT, IIFT etc.  Here are few ideas that you can use for approxim

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In this post, we will be discussing mean, median, mode concepts and their solved examples which is a frequently asked topic in XAT and SNAP examination. We will start our discussion with basic concepts of statistics followed by some examples that will help you get a better understanding of the concept. The short tricks to solve some particular questions are discussed during the solution of the question. 1. Mean, Median, Mode Concepts and Properties Mean, median, and mode are three kinds of "averages". There are many "averages" in statistics, but these are, the three most common, and are

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Most of us are lured to attempt Para jumble/sentence completion questions in CAT/Mock CAT. In these type of questions, we eventually, come to down to 2 confusing choices. And the sad story is, most of the time we select the wrong option.But, the irony is it’s hard to leave these type of questions as with added logic these questions can be very scoring and consume less time as compared to an RC. So let me try to spread some gyaan that might be able to help you out in these situations. First ,try to find the purpose behind the para: When the purpose is to explain something – the

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In the recent CAT papers, we have seen questions in Logical Reasoning and Data Interpretation section based on the concepts from Quantitative Ability. These questions can also be solved with simple logic but if solved with the Quantitative Ability concepts then solving becomes more convenient. Topics such as Mixture-Allegation, Percentages, Linear equations, numbers etc. are used to frame questions. In this post, we will look at some of the Quantitative Ability based applications in this section of CAT. We will not discuss the Quantitative Ability concepts in this post, rather we will impl

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We all know what factorials (n!) are. They look friendly and helpful but looks can be deceiving, as many quant problems have taught us. Probably it is because that Factorials are simple looking creatures, most students prefer attempting questions based on them rather than on Permutation & Combination or Probability. I will cover P&C and Probability at a later date but in today’s post I would like to discuss some fundas related to factorials, which as a matter of fact form the basis of a large number of P&C and Probability problems.   Some of the factorials that mig

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The most important part of CAT Verbal reasoning are questions based on assumptions and inferences. If you think you would rather skip this tricky topic- Well, you shouldn’t. Why? Because once you learn to tackle these well, they can prove to be the most scoring and time-saving questions of CAT. The purpose of such questions is to evaluate your reasoning skills. And you can definitely develop these. How? Just concept clarity and lots of practice! Students are often confused between assumptions and inferences. While it may not matter in case of easy questions but you need to know the differ

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There are some topics in Quantitative Aptitude, like Permutation & Combination,  where you can easily find out the answer and the answer you calculate is there in the options but it turns out to be wrong. And then there are some topics in which you read the question, understand it but cannot even begin solving it. You get stuck at the first step and you have no idea about how to even approach the question. The irritating fact is that you understood the question properly. It happens very frequently with questions on Time Speed & Distance (TSD). I have always been a big advocate of

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