Probabability chapter explanation
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Answer:
Probability: It is the numerical measurement of the degree of certainty.
Theoretical probability associated with an event E is defined as “If there are ‘n’ elementary events associated with a random experiment and m of these are favourable to the event E then the probability of occurrence of an event is defined by P(E) as the ratio mn “.
Probability Class 10 Notes Maths Chapter 15 1
If P(E) = 1, then it is called a ‘Certain Event’.
If P(E) = 0, then it is called an ‘Impossible Event’.
The probability of an event E is a number P(E) such that: 0 ≤ P(E) ≤ 1
An event having only one outcome is called an elementary event. The sum of the probabilities of all the elementary events of an experiment is 1.
For any event E, P(E) + P(E¯) = 1, where E¯ stands for ‘not E’. E and E¯ are called complementary events.
Favourable outcomes are those outcomes in the sample space that are favourable to the occurrence of an event.
Sample Space
A collection of all possible outcomes of an experiment is known as sample space. It is denoted by ‘S’ and represented in curly brackets.
Examples of Sample Spaces:
A coin is tossed = Event
E1 = Getting a head (H) on upper face
E2 = Getting a tail (T) on upper face
S = {H, T}
Total number of outcomes = 2
Two coins are tossed = Event = E
E1 = Getting a head on coin 1 and a tail on coin 2 = (H, T)
E2 = Getting a head on both coin 1 and coin 2 = (H, H)
E3 = Getting a tail on coin 1 and a head on coin 2 = (T, H)
E4 = Getting a tail on both, coin 1 and coin 2 = (T, T)
S = {(H, T), (H, H), (T, H), (T, T)}.
Total number of outcomes = 4
This is the notes of this Chapter. I hope this will help you.
