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Probability Class 12 | One Shot | JEE Main & Advanced | Arvind Kalia Sir
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Best Probability One shot session for JEE by Arvind Kalia Sir
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This 'One Shot' session is an efficient and effective way to prepare for competitive exams like JEE Main & Advanced, as it covers key Probability topics in a single, intensive class. Arvind Kalia Sir will guide you through the intricacies of probability theory, helping you build a strong foundation and boost your confidence for these challenging exams. Don't miss this opportunity to master probability and enhance your exam readiness with the expertise of Arvind Kalia Sir.
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#probability #jeeadvanced #jeemain2024 #jeemain2025 #jeemaths #unacademy #jeenexus #arvindkaliasir #onlineclasses #iitjee #iitjeemaths #iitjeemains
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TIMESTAMPS
0:00 Introduction & Nature of Chapter
2:55 Index and Critical topics
4:53 Classical probability
1:17:21 Conditional probability
1:34:31 Multiplication theorem & Independent Events
2:21:14 Total Probability Law
2:39:38 Bayes' Theorem
3:11:54 Random Variable & Probability Distribution
3:29:38 Bernoulli's Trials & Binomial Distribution
---------------------
---------------------
This 'One Shot' session is an efficient and effective way to prepare for competitive exams like JEE Main & Advanced, as it covers key Probability topics in a single, intensive class. Arvind Kalia Sir will guide you through the intricacies of probability theory, helping you build a strong foundation and boost your confidence for these challenging exams. Don't miss this opportunity to master probability and enhance your exam readiness with the expertise of Arvind Kalia Sir.
---------------------
----------------
#probability #jeeadvanced #jeemain2024 #jeemain2025 #jeemaths #unacademy #jeenexus #arvindkaliasir #onlineclasses #iitjee #iitjeemaths #iitjeemains
---------------------
TIMESTAMPS
0:00 Introduction & Nature of Chapter
2:55 Index and Critical topics
4:53 Classical probability
1:17:21 Conditional probability
1:34:31 Multiplication theorem & Independent Events
2:21:14 Total Probability Law
2:39:38 Bayes' Theorem
3:11:54 Random Variable & Probability Distribution
3:29:38 Bernoulli's Trials & Binomial Distribution
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