General aptitude
Question : The ratio of the number of boys and girls in a school of 720 students is 7 : 5. How many more girls should be admitted to make the ratio 1 : 1?
Option 1: 90
Option 2: 120
Option 3: 220
Option 4: 240
Correct Answer: 120
Solution : The current ratio of boys to girls in the school is 7 : 5. This means that out of every 12 students (7 boys + 5 girls), 7 are boys and 5 are girls. The number of boys and girls in the school is 720. Number of boys = $\frac{7}{12}×720 = 420$ Number of girls = $\frac{5}{12}×720 = 300$ To make the ratio of boys to girls 1 : 1, the number of girls should be equal to the number of boys. Additional girls needed = Number of boys – Number of girls = 420 – 300 = 120 Hence, the correct answer is 120.
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Hello Aqib,
Since you have not mentioned that whether you require syllabus of UG or PG examination hence I am providing you the following link which includes the detailed syllabus of both the exams.
Please do visit the link for syllabus:
https://university.careers360.com/articles/cucet-syllabus
This link also includes past year papers for your perfect practice.
Amrita School of Engineering, Coimbatore campus is one of the best campuses so the cutoffs are quite high compared other campuses. Now you don't belong to the state therefore you'll be getting through Other state quota. For state candidates, the closing rank for Computer Science and Engineering lies around 13500 while the closing rank for other state candidates in Computer Science and Engineering branch lies around 1800 rank. However this is based on previous year cutoffs and this year the cutoffs may change. You can check the cutoffs of other branches and other campuses here https://engineering.careers360.com/articles/aeee-cutoff
Hello Aspirant ,
The syllabus is as following -
Verbal Ability
Grammar, Vocabulary, Coding-Decoding & Series, Directions, Blood Relations, Arrangements, Syllogism, Inference & Assumptions, Clocks and Puzzles.
Numerical Ability:
Fundamentals, Equations, Percentage, Averages, Ratio & Propotions, Mixture and Alligations, Data Interpretation & Data Suffiency, Time, Speed & Distance, Time & Work, Set Theory & Venn Diagrams, Progression, Functions & Graphs, Logarthims, Permutations and Combinations, Probability, Geometry & Mensuration.
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