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Скачать или смотреть Probability | Probability class 10/9 | Class 10th Maths Chapter 15 |Full Chapter/Concept/Explanation

  • Akshay
  • 2019-04-20
  • 59
Probability | Probability class 10/9 | Class 10th Maths Chapter 15 |Full Chapter/Concept/Explanation
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Описание к видео Probability | Probability class 10/9 | Class 10th Maths Chapter 15 |Full Chapter/Concept/Explanation

Hi, Finally, after a whole year of hard work, we have completed Class 10th maths syllabus on our channel. Here is the last video of class 10th chapters. In this Chapter "Probability" we will go with the concept first which is similar to class 9th concept as well. After that, we will move to the exercises of the chapter. In this way, we will cover the whole chapter with questions and solutions.





Congratulations to all our students for this wonderful test series. We spent a year to make it like this which can help you with your exams. Now you can prepare yourself for CBSE class 10 exams with Dear Sir's high-quality questions and test papers. We have covered more than 6000 questions to make you champion in your exams. All four subjects ( Science, Social Science, Maths and English ) are covered in one single package.











#LearnoHubMaths #CBSEClass10

Probability | Class 11 Maths

Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes (""heads"" and ""tails"") are both equally probable; the probability of ""heads"" equals the probability of ""tails""; and since no other outcomes are possible, the probability of either ""heads"" or ""tails"" is 1/2 (which could also be written as 0.5 or 50%). These concepts have been given an axiomatic mathematical formalization in probability theory, which is used widely in such areas of study as mathematics, statistics, finance, gambling, science (in particular physics), artificial intelligence/machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems In this video, we will cover: 1. Introduction to probability 2. Classical theory 3. Statistical Approach 4. Limitation of Classical and Statistical Approach 5. Axiomatic Approach 6. Random Experiment 7. Outcome 8. Sample Space 9. Example 10. Events 11. Occurrence of an event 12. Impossible events 13. Sure events 14. Simple events 15. Compound events 16. Algebra of events 17. Event A or B with example 18. Event A and B with example 19. Event A but not B 20. Mutually exclusive event 21. Exhaustive event 22. Examples 23. Rigged outcome with examples 24. Determining Probability using Axiomatic Approach 25. Axiomatic Approach with examples 26. Probability class 11 Maths 27. NCERT Solutions Class 11 Maths Chapter 16 28. Exercise 16.1 Maths Class 11 29. Exercise 16.2 Maths Class 11 30. Class 11 Maths Exercise 16.1 Question 2 31. Class 11 Maths Exercise 16.2 Question 3 probability,probability class 11,probability theory,probability of compound events,probability math problems,roshni mam,cbse class 11 maths probability,11th maths probability,class 11th maths probability,chapter 16 probability class 11,random experiment probability,random experiment probability in hindi,sample space and probability,simple event vs compound event,sure event and impossible event,axiomatic approach to probability,probability class 11 exam fear LearnoHub.com (formerly called ExamFear Education) is a Free Education platform with more than 6000 videos on Physics, Chemistry, Maths, Biology, English, Science experiments, tips & tricks and motivational videos for Classes 6 to 12. Learn for Free!







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