Short Tricks to deal with cases of 'At least' & 'At most'

Duration: 9 min

This video lesson is available to enrolled students.

Return to /learn/MPPSC-ASSISTANT-PROFESSOR-COMPUTER-SCIENCE-PAPER-2/unit-i-discrete-mathematical-structure/permutation-and-combination/basic-probability/asset-short-tricks-to-deal-with-cases-of-at-least-at-most after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: प्रतिशतता / Percentage, अनुपात, समानुपात, साझेदारी एवं मिश्रण / Ratio, Proportion, Partnership and Mixtures, औसत / Averages, आँकड़ा विश्लेषण एवं शोध सांख्यिकी / Data Analysis and Statistics in Research, क्रमचय, संचय एवं प्रायिकता / Permutation, Combination and Probability, श्रेणी / Series, आँकड़े एवं आलेखीय निरूपण / Data and Graphical Representation, आँकड़ा निर्वचन: तालिका / Data Interpretation: Tables, Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Descriptive statistics, exploratory data analysis, Standard discrete and continuous univariate distributions, Univariate and Joint Distributions, Markov Chains
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, 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. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: 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
  13. Paper 2 | Compiler Design: 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
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, 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
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: कंप्यूटर की मूल बातें और हार्डवेयर / Computer Fundamentals and Hardware, पारितंत्र और जैव विविधता / Ecosystems and Biodiversity, मेमोरी, भंडारण और डेटा निरूपण / Memory, Storage and Data Representation, कंप्यूटर सॉफ्टवेयर / Computer Software, निरुपाधिक प्रतिज्ञप्तियाँ / Categorical Propositions, ऑफिस अनुप्रयोग / Office Applications, संकेत विज्ञान एवं अर्थ / Semiotics and Meaning, मल्टीमीडिया और फ़ाइल प्रारूप / Multimedia and File Formats, कंप्यूटर नेटवर्क / Computer Networks, संचार की बाधाएँ / Barriers to Communication, उच्च शिक्षा संस्थानों के प्रकार / Types of Higher Education Institutions, इंटरनेट और वर्ल्ड वाइड वेब / Internet and World Wide Web, ई-मेल और ऑनलाइन संचार / Email and Online Communication, शिक्षण विधियाँ / Methods of Teaching, साइबर सुरक्षा / Cyber Security, डिजिटल नैतिकता, बौद्धिक संपदा और समाज / Digital Ethics, IPR and Society, शोध-प्रबंध एवं लेख लेखन / Thesis and Article Writing, डिजिटल एवं नव माध्यम / Digital and New Media, उभरती प्रौद्योगिकियाँ / Emerging Technologies, प्राकृतिक प्रकोप और आपदा प्रबंधन / Natural Hazards and Disaster Management, शिक्षा और शासन में ICT / ICT in Education and Governance, क्लाउड और वितरित कंप्यूटिंग / Cloud and Distributed Computing, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video, presented by Yash Jain from Knowledge Gate, provides a step-by-step solution to a probability problem. The core of the lesson is the calculation of probabilities for different outcomes when a coin is tossed twice. The instructor begins by defining the sample space, which consists of four equally likely outcomes: HH, HT, TH, and TT. He then systematically addresses three parts of the question: (i) the probability of getting exactly one head, (ii) the probability of getting at least one head, and (iii) the probability of getting at most one head. For each part, he identifies the favorable outcomes from the sample space and applies the fundamental formula for probability: P(E) = (Number of favorable outcomes) / (Total number of outcomes). The video demonstrates the direct calculation method and also shows how to use the complement rule for part (ii), where P(at least one head) = 1 - P(no heads). The visual presentation uses a digital whiteboard with handwritten text and diagrams to clearly illustrate the problem-solving process.

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 casino table with dice, a basket of fruit, a pizza box, and a business meeting. The scene then transitions to the main lecture slide, which has a pink background with a word cloud. The title "PROBABILITY" is displayed at the top, and the instructor, Yash Jain, is shown in a small window in the bottom right corner. The slide introduces the problem: "A coin is tossed twice. Find the probability of getting:" followed by three sub-questions: (i) exactly one head, (ii) at least one head, and (iii) at most one head. The instructor begins to explain the problem, and the on-screen text clearly states the question and its parts.

  2. 2:00 – 5:00 02:00-05:00

    The instructor begins to solve the problem by first defining the sample space. On the digital whiteboard, he writes "Total = {HH, HT, TH, TT}" to list all possible outcomes of two coin tosses. He then explains that the total number of outcomes is 4. For part (i), "exactly one head," he identifies the favorable outcomes as {HT, TH}. He writes "(i) Fav outcome = {HT, TH}" and calculates the probability as P(i) = 2/4 = 1/2. For part (ii), "at least one head," he identifies the favorable outcomes as {HH, HT, TH}, writing "(ii) 1 Head OR 2 Head = {HH, HT, TH}". He calculates P(ii) = 3/4. The instructor uses a red pen to write all the text and equations on the screen, making the process clear and easy to follow.

  3. 5:00 – 8:33 05:00-08:33

    The instructor moves to part (iii), "at most one head." He defines the favorable outcomes as {HT, TH, TT}, writing "(iii) 0 Head OR 1 Head = {HT, TH, TT}". He calculates the probability as P(iii) = 3/4. He then demonstrates an alternative method for part (ii) using the complement rule. He writes "P(E') = 1 - P(E)" and identifies the event E as "at least one head." The complement E' is "no head," which corresponds to the outcome {TT}. He calculates P(E') = 1/4 and then P(E) = 1 - 1/4 = 3/4, confirming the result from the direct method. The video concludes with a final screen that says "THANKS FOR WATCHING".

The video presents a clear and structured lesson on calculating probabilities for compound events. It begins by establishing the sample space for a simple experiment (two coin tosses) and then applies the basic probability formula to three different, related events. The instructor effectively uses both direct enumeration of favorable outcomes and the complement rule, demonstrating two essential problem-solving strategies. The visual aid of the digital whiteboard allows for a step-by-step walkthrough, making the logical progression from problem statement to solution easy to follow. The lesson reinforces the fundamental concept that probability is the ratio of favorable outcomes to the total number of possible outcomes.

Loading lesson…