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

Duration: 6 min

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Inside: a video lesson and guided study material.

Module outline

  1. English Comprehension/Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Vocabulary, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Subject Verb Agreement (Verb Noun Agreement), Tenses, Verb, Articles, Preposition, Conjunction, Pronoun, Noun, Adjectives, Adverb, Modals, Cloze Test (Cloze Passage), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  2. Logical Ability: Coding Decoding, Directions (Direction Test), Analogy, Inequality, Data Sufficiency, Series (Number and Letter Series) (Numerical Relations and Reasoning), Syllogisms, Seating Arrangements, Puzzle Solving (Puzzles), Blood Relations, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Data Arrangement, Venn Diagram, Calendar, Clock
  3. Quantitative Ability: Logarithm, Permutation and Combination, Probability, Profit and Loss, Speed Time and Distance, Mixture and Alligation, Partnership, Simple Interest and Compound Interest, Percentage, Ratio and Proportion (Ratios), Average, Time and Work, Pipe and Cistern, Number System, Divisibility Rules, HCF LCM, Algebra, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Age Problems, Data Interpretation, Sequence and Series (Series)
  4. Basic Analytical Ability: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Selection Decision Table (Decision Making)
  5. Computer Programming: Pseudo Codes, Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  6. DBMS (Computer Science): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Transaction Management, Concurrency Control, Database Security & Authorization
  7. SQL (Computer Science): SQL
  8. OS (Computer Science): Introduction to OS, Process Management, CPU Scheduling, Deadlock, Process Synchronization, Threads & Process Creation, Memory Management, Virtual Memory, File Management
  9. Computer Networks (Computer Science): 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
  10. Data Structures (Computer Science): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. OOPs (Computer Science): Object Oriented Programming (OOPS)
  12. Software Engineering (Computer Science): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. SVAR Conversational - Spoken English: Communication Assessment
  14. HR Interview: MR & HR Interview Preparation
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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