The Data Interpretation and Logical reasoning section have nearly 30 questions in the IIFT exam. This section tends to be on the tougher side as it is calculation-intensive and requires a clear understanding to solve the logical reasoning section. The usual divide between Data Interpretation and Logical reasoning section is 16 and 14 respectively. The Data interpretation section consists of areas like Pie charts, bar graphs, line charts, data tables, etc. while logical reasoning is comparatively easier to solve and comprises topics like blood relations, matrix solving, Combinations, seating arrangements, etc. There is no time limit for each section in IIFT so a student should be aware that they do not spend more time than required as complex calculations can take time and a student may lose track of time. First, the logical reasoning sets should be solved which in most cases can be solved quickly. After that, they should move on to the Data Interpretation section. There is a sectional cutoff for the section so it is necessary to get a minimum score. Candidates having string calculation and mathematical knowledge can try to maximize scores in this section.
For preparing the Data Interpretation and Logical Reasoning section of IIFT test, a candidate should try and solve as many Data sets as possible as more practice would lead them to better accuracy. It is essential for candidates to learn tricks to solve calculations in a quick manner. Also, certain estimates can be made in terms of rounding up percentages and getting to the closest answers as the options are not that close. This will help them solve questions quickly and in an accurate manner. For logical reasoning solving more and more sets of diverse types from past years’ papers. Some of the suggested books for preparing this section are:
• Data Interpretation for The CAT by Arun Sharma
• How to Prepare For Logical Reasoning For CAT by Arun Sharma
• Logical Reasoning and Data Interpretation for CAT & Other MBA Exams by Nishit K Sinha
• Verbal Ability And Logical Reasoning For The CAT by Nishit K. Sinha
• Data interpretation and Logical Reasoning for CAT by Pearson