NCERT Exemplar Class 12 Maths Unit 13 Probability

Candidates can download NCERT Exemplar Class 12 Maths Unit 13 from this page. The exemplar has been provided by the National Council of Educational Research & Training (NCERT) and the candidates can check it from below for free of cost. It contains objective, very short answer type, short answer type, and long answer type questions. Along with it, the answer for each question has also been provided. From the NCERT Exemplar Class 12 Maths Unit 13, candidates can understand the level and type of questions that are asked in the exam.

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NCERT Exemplar Class 12 Maths Unit 13 Probability

NCERT Class 12 Maths Unit 13 is for Probability. The type of questions that will be asked from NCERT Class 12 Maths Unit 13 are displayed in the below provided NCERT Exemplar Class 12 Maths Unit 13. With the help of it, candidates can prepare well for the examination.

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13.1 Overview
13.1.1 Conditional Probability
If E and F are two events associated with the same sample space of a random experiment, then the conditional probability of the event E under the condition that the event F has occurred, written as P (E | F), is given by

13.1.2 Properties of Conditional Probability

13.1.3 Multiplication Theorem on Probability

13.1.4 Independent Events

13.1.5 Partition of a Sample Space

13.1.6 Theorem of Total Probability

13.1.7 Bayes’ Theorem
If E 1 , E 2 ,…, E n are mutually exclusive and exhaustive events associated with a sample
space, and A is any event of non zero probability, then

13.1.8 Random Variable and its Probability Distribution
A random variable is a real valued function whose domain is the sample space of a random experiment.
The probability distribution of a random variable X is the system of numbers

13.1.9 Mean and Variance of a Random Variable

13.1.10 Bernoulli Trials
Trials of a random experiment are called Bernoulli trials, if they satisfy the following
conditions:
(i) There should be a finite number of trials
(ii) The trials should be independent
(iii) Each trial has exactly two outcomes: success or failure
(iv) The probability of success (or failure) remains the same in each trial.
13.1.11 Binomial Distribution