Selling item in 2 parts with given profit% or loss% (1)

Duration: 6 min

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Module outline

  1. Communication Round: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), Tenses, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Direct and Indirect Speech, Active Passive Voice (Voice), Verbal Analogy (Word Based Analogy), Articles, Preposition, Conjunction, Sentence Construction, English Writing Ability, Communication Assessment
  2. Quantitative Aptitude: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Speed Time and Distance, Percentage, Average, Powers and Exponents (Surds and Indices), Time and Work, Mensuration and Geometry, Age Problems, Pipe and Cistern, Probability, Profit and Loss, Simple Interest and Compound Interest, Algebra
  3. Analytical and Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Directions (Direction Test), Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Logical Sequence Of Words, Puzzle Solving (Puzzles), Syllogisms, Seating Arrangements, Calendar, Clock, Blood Relations, Cubes & Dices, Venn Diagram, Analytical Reasoning (Counting Figures Reasoning)
  4. Cognizant Gaming Aptitude: Gamified / Game Based Aptitude
  5. Java (Cluster 1): Java
  6. ANSI SQL MySQL (Cluster 1,2,3): SQL
  7. HTML, CSS, JavaScript (Cluster 1,3): HTML, CSS, JavaScript
  8. Python (Cluster 2): Python for Placements by Yash Sir
  9. Cloud Fundamentals (Cluster 2): Emerging Tech Trends
  10. C# (Cluster 3): C#
  11. OOPs: Object Oriented Programming (OOPS)
  12. Technical Assessment (Coding): Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Pseudo Codes
  13. Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. DBMS: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  15. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  16. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video presents a lesson on solving mixture and alligation problems, a common topic in quantitative aptitude. The instructor, Yash Jain, begins by introducing the topic with a title slide. The core of the video is a detailed, step-by-step solution to a word problem involving a shopkeeper selling 91 kg of rice at two different profit percentages (7% and 33%) to achieve an overall profit of 25%. The instructor uses a visual diagram on a digital whiteboard to apply the alligation method, calculating the ratio of the two parts of rice as 4:9. This ratio is then used to find the quantity of rice sold at the 7% profit, which is 28 kg. The video concludes with a 'Thanks for watching' screen.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with an animated title card for 'MIXTURES & ALLIGATIONS' by Yash Jain, a Knowledge Gate Educator. The instructor, visible in a small window, introduces the topic. The main screen then transitions to a new slide titled 'SELLING AN ITEM IN 2 PARTS WITH GIVEN PROFIT OR LOSS %', which sets up the problem to be solved. The instructor begins to explain the concept of selling an item in two parts with different profit margins, laying the foundation for the alligation method.

  2. 2:00 – 5:00 02:00-05:00

    The instructor presents a word problem on the screen: 'A shopkeeper sells 91 kg rice, part of which is sold at 7% profit and other part at 33% profit. On the whole he gains 25%. Find the quantity of rice sold at 7% profit.' He then uses a digital whiteboard to draw a diagram. He writes '7%' and '33%' and connects them to the overall '25%' to illustrate the alligation method. He calculates the differences: 33 - 25 = 8 and 25 - 7 = 18, establishing the ratio 8:18, which simplifies to 4:9. This ratio represents the proportion of the two parts of rice.

  3. 5:00 – 5:59 05:00-05:59

    The instructor completes the calculation by applying the ratio 4:9 to the total quantity of 91 kg. He writes the equation (4/13) * 91 = 28. The result, 28 kg, is clearly shown as the quantity of rice sold at 7% profit. The video concludes with a final screen that says 'THANKS FOR WATCHING'.

The video provides a clear, structured demonstration of the alligation method for solving mixture problems. It begins with a conceptual introduction and then applies the method to a specific, real-world problem. The visual aid of the diagram is crucial, as it helps to visualize the relationship between the individual profit percentages and the overall average profit. The step-by-step progression from setting up the problem to calculating the final answer makes the solution process easy to follow and understand.

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