Short Trick to find total outcomes in an experiment

Duration: 12 min

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Module outline

  1. Quantitative Aptitude: Number System, Divisibility Rules, HCF LCM, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Mixture and Alligation, Partnership, Age Problems, Time and Work, Pipe and Cistern, Speed Time and Distance, Algebra, Arithmetic, Data Interpretation, Sequence and Series (Series), Logarithm, Powers and Exponents (Surds and Indices), Permutation and Combination, Probability, Speed Mathematics and Basic Mathematics, Trigonometry
  2. Logical Reasoning: Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Syllogisms, Inequality, Data Sufficiency, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Venn Diagram, Logical Sequence Of Words, Calendar, Clock, Cubes & Dices, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Noun, Pronoun, Adjectives, Verb, Adverb, Tenses, Subject Verb Agreement (Verb Noun Agreement), Articles, Preposition, Conjunction, Modals, Determiner, Vocabulary, 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), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  4. Data Structures (Domain Test): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  5. Algorithms (Domain Test): Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms
  6. OOPs (Domain Test): Object Oriented Programming (OOPS)
  7. DBMS (Domain Test): 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
  8. SQL (Domain Test): SQL
  9. Operating Systems (Domain Test): 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
  10. Computer Networks (Domain Test): 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
  11. Coding: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  12. Written English Test: English Writing Ability
  13. Psychometric Test: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video, presented by Yash Jain from Knowledge Gate, is a lecture on the fundamental concept of probability, specifically focusing on calculating total outcomes in experiments. The video begins with an introduction to the topic, followed by a series of worked examples. The first example asks for the total outcomes when three coins are tossed, which is solved by listing all possible combinations (HHH, HHT, HTH, HTT, THH, THT, TTH, TTT) to arrive at 8 total outcomes. The second example calculates the total outcomes when a die is rolled four times, using the formula m^n where m is the number of outcomes per roll (6) and n is the number of rolls (4), resulting in 6^4 = 1296. The video concludes by presenting a general formula for such problems: if an experiment has 'm' total outcomes and is repeated 'n' times, the total number of outcomes is m^n. The instructor uses a digital whiteboard to write out the problems and solutions, and the video includes a copyright notice from Knowledge Gate Eduventures.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide featuring the word "PROBABILITY" in a purple box, surrounded by four images: a dice on a green table, a basket of fruit, a pizza, and a business meeting. This transitions to a presentation slide with a pink background and a word cloud related to business and risk. The title "PROBABILITY" is at the top, and the instructor, Yash Jain, is visible in a small window. The slide also includes the text "- BY YASH JAIN" and a copyright notice at the bottom. The instructor begins the lecture, introducing the topic of probability.

  2. 2:00 – 5:00 02:00-05:00

    The video displays a new slide with a yellow background and the text "Let's Play With Some Questions Now". The instructor then presents the first question: "Find the total outcomes when 3 coins are tossed together?". He begins to solve this by writing out the possible outcomes on a digital whiteboard, starting with H H H and then systematically listing all combinations of Heads (H) and Tails (T) for three coins, such as H H T, H T H, H T T, T H H, T H T, T T H, and T T T. He is explaining the process of finding the total number of possible results.

  3. 5:00 – 10:00 05:00-10:00

    The instructor continues to list the outcomes for the three-coin toss problem, completing the list of 8 possible combinations. He then transitions to the second question: "Find the total outcomes when a dice is rolled 4 times?". He explains that a die has 6 faces, so there are 6 possible outcomes for a single roll. He then applies the formula for repeated experiments, writing 6 * 6 * 6 * 6 and calculating it as 6^4, which equals 1296. He also shows the calculation 1296 = 16 * 81. The instructor uses a digital whiteboard to write out the equations and calculations.

  4. 10:00 – 11:56 10:00-11:56

    The video presents a slide titled "Yash Sir Special Short Trick". The instructor explains the general formula for calculating total outcomes when an experiment is repeated multiple times. He writes the formula: "Total outcomes when an experiment is done = m" and "Total outcomes if this experiment is repeated 'n' times = m^n". He uses the previous examples to illustrate this: for the coin toss, m=2 (H or T) and n=3, so 2^3 = 8. For the dice roll, m=6 and n=4, so 6^4 = 1296. The video ends with a final slide that says "THANKS FOR WATCHING".

The video provides a clear, step-by-step tutorial on calculating total outcomes in probability experiments. It starts with a conceptual introduction and then moves to practical examples. The first example, tossing three coins, is solved by exhaustive listing, which is a fundamental method. The second example, rolling a die four times, introduces the multiplicative principle, which is then generalized into a powerful formula (m^n). The instructor effectively uses a digital whiteboard to demonstrate the calculations, making the process easy to follow. The lesson progresses from a specific, manual method to a general, efficient formula, providing students with both a foundational understanding and a practical tool for solving similar problems.

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