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Video tutorials - PUC Mathematics: Probability - Probability (Central Board of Secondary Education (CBSE))

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shaalaa.com | Probability part 1 (Recap)

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Probability part 1 (Recap) [00:07:29]
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Series 1: playing of 32

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Probability part 1 (Recap)
00:07:29
Probability part 2 (Conditional Probability :- Introduction)
00:14:28
Probability part 3 (Conditional Probability :- Definition)
00:14:15
Probability part 4 (Conditional Probability :- Properties)
00:08:50
Probability part 5 (Conditional Probability :- Example)
00:13:37
Probability part 6 (Example :- Conditional Probability)
00:11:12
Probability part 7 (Example :- Conditional Probability)
00:13:47
Probability part 8 (Example :- Conditional Probability)
00:11:10
Probability part 9 (Example Continuous function)
00:09:12
Probability part 10 (Example :- Conditional Probability)
00:11:28
Probability part 11 (Example :- Conditional Probability)
00:08:17
Probability part 12 (Multiplication theorem on Probability)
00:13:38
Probability part 13 (Independent Events)
00:13:33
Probability part 14 (Independent Events :- Examples)
00:14:09
Probability part 15 (Independent Events :- Examples)
00:11:05
Probability part 16 (Independent Events :- Examples)
00:13:39
Probability part 17 (Partition sample space,total probabilty theorem)
00:09:50
Probability part 18 (Bayes theorem Introduction)
00:11:32
Probability part 19 (Bayes theorem :- Examples)
00:14:28
Probability part 20 (Bayes theorem :- Examples)
00:14:26
Probability part 21 (Bayes theorem :- Examples)
00:09:34
Probability part 22 (Random variables)
00:10:57
Probability part 23 (Random variables :- Examples)
00:11:20
Probability part 24 (Random variables :- Examples)
00:12:48
Probability part 25 (Random variables :- Examples)
00:08:55
Probability part 26 (Mean of random variables)
00:12:30
Probability part 27 (Mean of random variables :- Example)
00:04:55
Probability part 28 (variance, Standard Deviation of random variables)
00:11:57
Probability part 29 (Example variance and Standard Deviation)
00:06:49
Probability part 30 (Bernolli trial)
00:14:03
Probability part 31 (Example Bernolli trial)
00:14:20
Probability part 32 (Example Bernolli trial)
00:11:06

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Description

  • Conditional probability, multiplication theorem on probability, independent events, total probability, Bayes' theorem, Random variable and its probability distribution, mean and variance of random variable. Repeated independent (Bernoulli) trials and Binomial distribution.
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