Short Trick to find total outcomes in an experiment
Duration: 12 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
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- About the Course: About the Course
- Paper-1 & 2 | Basic Numeracy: अनुपात और समानुपात / Ratio and Proportion, Divisibility Rules, मिश्रण और एलिगेशन / Mixture and Alligation, Permutation and Combination, Logarithm, संख्या पद्धति / Number System, महत्तम समापवर्तक और लघुत्तम समापवर्त्य / HCF and LCM, Sequence and Series (Series), समय, चाल और दूरी / Time, Speed and Distance, प्रतिशत / Percentage, औसत / Average, घन क्षेत्रमिति / Solid Mensuration, Age Problems, Arithmetic, Statistics, Probability, लाभ, हानि और बट्टा / Profit, Loss and Discount, साधारण और चक्रवृद्धि ब्याज / Simple and Compound Interest, Partnership, Speed Mathematics and Basic Mathematics, Algebra, सरलीकरण, घातांक और करणी / Simplification, Indices and Surds, समय और कार्य / Time and Work, Pipe and Cistern, RSSB Specific Videos - Basic Numeracy, समुच्चय, संबंध, फलन और विविक्त गणित / Sets, Relations, Functions and Discrete Mathematics, संख्या पद्धति और संख्या सिद्धांत / Number Systems and Number Theory, निर्देशांक ज्यामिति, सदिश और त्रिविमीय ज्यामिति / Coordinate Geometry, Vectors and 3D Geometry, बहुपद, समीकरण और सम्मिश्र संख्याएँ / Polynomials, Equations and Complex Numbers
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- Paper-1 & 2 | Decision Making and Problem Solving: आँकड़ों की पर्याप्तता एवं निर्णय क्षमता / Data Sufficiency and Decision Making
- Paper-1 | General Science: वैज्ञानिक उपलब्धियाँ और अनुसंधान / Scientific Achievements and Research, Biology, Chemistry, RSSB Specific Videos
- Paper-1 | General Awareness: राज्य विशेष सामान्य ज्ञान / State-Specific General Knowledge, समसामयिकी / Current Affairs
- Paper - 2 | Digital Logic Systems: Digital Systems & Boolean Basics, Logic Gates & Hardware, Combinational Circuit, Sequential Circuits
- Paper-2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Calculus, Relational Algebra, SQL, NoSQL
- Paper-2 | Data Structures & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Algorithm Analysis, Sorting Algorithms, Intro to Compilers, Hashing
- Paper 2 | Data Communication and Network Security: Introduction to CN, Data Communication, Data Link Layer - Ethernet, DLL: Error Control, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Application Layer, Hardware basics, Network Security, Ethical Hacking
- Paper-2 | Operating Systems: Introduction to OS, Process Management, Memory Management, File Management, Deadlock
- Paper-2 | Computer Organization and Architecture: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer, Number System, Number Representation
- Paper 2 | System Analysis and Design: Fundamentals of Systems and Information Systems, Fundamentals of Software Engineering, SDLC and Development Approaches, Software Documentation and Software Requirements Specification (SRS), SDD and Quality Assurance, Security, Risk Management & Maintenance, Software Testing
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- Emerging Trends and AI: Emerging Tech Trends, कंप्यूटर के मूल सिद्धांत / Computer Fundamentals, व्यापार, विपणन एवं उपभोक्ता संरक्षण / Trade, Marketing and Consumer Protection
- Paper-2 | Data Processing (Ms-Office): MS Office Applications, कंप्यूटर सॉफ़्टवेयर / Computer Software, ऑपरेटिंग सिस्टम / Operating System, वर्ड प्रोसेसिंग (MS Word) / Word Processing (MS Word), प्रेज़ेंटेशन (MS PowerPoint) / Presentation Software (MS PowerPoint)
- Paper-2 | Internet and Web Technologies: HTML Basics, CSS, XML, JavaScript-Basics, Internet Fundamentals, Protocols & Services, Web Publishing & Hosting, Server Side & Security, Emerging Technologies, Terms & Abbreviations, Cyber Threats and Malware Attacks, Role of Internet and Web Services, Security in Mobile and Wireless Computing, साइबर सुरक्षा / Cyber Safety and Security, कंप्यूटर नेटवर्क / Computer Networks
- Paper 2 | Pedagogy: वृद्धि और विकास / Growth and Development, विकास के सिद्धांत / Theories of Development, Concept of Pedagogy, समावेशी शिक्षा / Inclusive Education, Experiential Pedagogy, आकलन और मूल्यांकन / Assessment and Evaluation, संज्ञानात्मक प्रक्रियाएँ / Cognitive Processes, समाजीकरण और जेंडर / Socialisation and Gender, National Education Policy (NEP) 2020
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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
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.
2:00 – 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.
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.
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.