Ch13. Probability

In this self study course, you will learn conditional probability, multiplication theorem on probability, independent events, total probability, Bayes’ theorem, Random variable and its probability distribution, mean and variance of random variable.
For further understanding of concepts and for examination preparation, practice questions based on the above topics are discussed in the form of assignments that have questions from NCERT Textbook exercise, NCERT Examples, Board’s Question Bank, RD Sharma, NCERT Exemplar etc. instead of only one book. The PDF of assignments can be downloaded within the course.

17 hours 32 minutes Course Duration

English Syllabus medium

Hindi + English Explanation

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Course Content

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Introduction & PDF

When Sample Space is Given

Equally Likely and Not Equally Likely Events

Assignment – 1

7 Subtopics

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Dependent and Independent Events

2 Subtopics

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Introduction

Concepts and Rules

Assignment – 1

6 Subtopics

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Conditional Probability

3 Subtopics

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Assignment – 2

14 Subtopics

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Assignment – 3

21 Subtopics

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Before we begin Assignment – 4

Assignment – 4

1 Subtopic

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Question – 1

Bernoulli’s Trials (Short Cut Method Independent Events)

Assignment – 4

17 Subtopics

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Random Variable

Example – 22

Probability Distribution

Assignment – 5

20 Subtopics

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Theorem of Total Probability and Bayes Theorem

Theorems on Conditional Probability

Assignment – 6

14 Subtopics

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Assignment – 7

16 Subtopics

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Assignment – 8

18 Subtopics

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Course Content

Introduction & PDF

Equally Likely and Not Equally Likely Events

Assignment – 1

Question – 1

Question – 2

Question – 3

Question – 4

Question – 5

Question – 6

Question – 7

Dependent and Independent Events

Introduction

Concepts and Rules

Assignment – 1

Question – 8

Question – 9

Question – 10

Question – 11

Question – 12

Question – 13

Conditional Probability

Working With Conditional Probability

Assignment -1 Question – 12

Assignment -1 Question – 13

Assignment – 2

Question – 1

Question – 2

Question – 3

Question – 4

Question – 5

Question – 6

Question – 7

Question – 8

Question – 9

Question – 10

Question – 11

Question – 12

Question – 13

Question – 14

Assignment – 3

Question – 1

Question – 2

Question – 3

Question – 4

Identities Independent Functions

Question – 5

Question – 6

Question – 7

Question – 8

Question – 9

Question – 10

Question – 11

Question – 12

Question – 13

Question – 14

Question – 15

Question – 16

Question – 17

Question – 18

Question – 19

Question – 20

Before we begin Assignment – 4

Assignment – 4

Question – 1

Bernoulli’s Trials (Short Cut Method Independent Events)

Assignment – 4

Question – 2

Question – 3

Question – 4

Question – 5

Question – 6

Question – 7

Question – 8

Question – 9

Question – 10

Question – 11

Question – 12

Question – 13

Question – 14