Selling item in 2 parts with given profit% or loss% (3)

Duration: 9 min

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Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: 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
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. TOC & Compiler: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video, presented by Yash Jain, is a tutorial on solving profit and loss problems where two items are sold at different profit and loss percentages, but the overall transaction results in no net profit or loss. The video begins with a title slide for 'MIXTURES & ALLIGATIONS' and transitions to a problem-solving session. The core concept demonstrated is the use of the alligation method, a technique for finding the ratio in which two or more ingredients at different prices must be mixed to produce a mixture at a given price. The instructor applies this method to two distinct problems: first, calculating the selling prices of two toy Tesla cars sold for a total of Rs. 1500, with one sold at a 3% loss and the other at a 7% profit, resulting in no overall profit or loss; second, solving a similar problem for two speakers sold for Rs. 1290, with one at a 9% loss and the other at a 12.5% profit. The solution process involves setting up a diagram with the profit and loss percentages, calculating the ratio of the cost prices, and then using this ratio to find the individual selling prices. The video concludes with a 'Thanks for Watching' screen.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a cartoon illustration of a scientist in a lab, followed by a title slide for a lecture on 'MIXTURES & ALLIGATIONS' by Yash Jain, a Knowledge Gate Educator. The instructor, visible in a small window, introduces the topic. The next slide presents the first problem: 'Two Toy Tesla Cars were sold for Rs. 1500. One was sold at a loss of 3% and the other at a profit of 7%. If there was no profit no loss on the whole, find the selling price of each Toy Tesla Car.' The instructor begins to explain the problem, setting up the context for the alligation method.

  2. 2:00 – 5:00 02:00-05:00

    The instructor begins to solve the first problem using the alligation method. He writes on a digital whiteboard, showing the profit and loss percentages: +7% and -3%. He explains that the overall profit is 0%, which is the mean value. He then draws a diagram, placing the mean (0%) in the center, the profit (7%) on the left, and the loss (-3%) on the right. He calculates the difference between the mean and each extreme value, resulting in 7 and 3, respectively. This gives the ratio of the cost prices as 3:7. He then uses this ratio to find the cost prices, calculating 3/10 of 1500 as 450 and 7/10 of 1500 as 1050. Finally, he calculates the selling prices: 450 * 1.07 = 481.5 and 1050 * 0.97 = 1018.5.

  3. 5:00 – 9:11 05:00-09:11

    The video transitions to a second problem: 'Two speakers were sold for Rs. 1290. On one, there was loss of 9% and on the other there was profit of 12.5%. If there was no profit no loss overall, find the selling price of each speaker.' The instructor applies the same alligation method. He writes the percentages: +12.5% and -9%. The mean is 0%. He calculates the differences: 12.5 - 0 = 12.5 and 0 - (-9) = 9. This gives a ratio of 9:12.5, which he simplifies to 18:25. He then calculates the cost prices: 18/43 of 1290 = 540 and 25/43 of 1290 = 750. Finally, he calculates the selling prices: 540 * 0.91 = 491.4 and 750 * 1.125 = 843.6. The video ends with a 'Thanks for Watching' screen.

The video provides a clear, step-by-step demonstration of the alligation method for solving profit and loss problems. It begins by establishing the core principle: when there is no overall profit or loss, the total cost price equals the total selling price. The instructor then uses a visual diagram to find the ratio of the cost prices of the two items based on their individual profit and loss percentages. This ratio is then applied to the total selling price to find the individual cost prices, from which the selling prices are calculated. The method is effectively demonstrated on two different problems, reinforcing the concept and showing its versatility.

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