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Probability - Introduction

Grade 10CBSE

Review the key concepts, formulae, and examples before starting your quiz.

🔑Concepts

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Probability is a measure of the likelihood that an event will occur, ranging from 00 to 11.

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The Theoretical Probability (also called Classical Probability) of an event EE is denoted by P(E)P(E). It assumes that all outcomes of an experiment are equally likely.

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The Sample Space is the set of all possible outcomes of a random experiment.

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An Elementary Event is an outcome of an experiment that has only one outcome. The sum of the probabilities of all the elementary events of an experiment is 11.

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An Impossible Event is an event that can never happen; its probability is 00.

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A Sure Event (or Certain Event) is an event that is bound to happen; its probability is 11.

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For any event EE, the range of probability is 0≤P(E)≤10 \le P(E) \le 1.

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The event Eˉ\bar{E} (read as 'not EE') is called the complementary event of EE. The relation is P(E)+P(Eˉ)=1P(E) + P(\bar{E}) = 1.

📐Formulae

P(E)=Number of outcomes favorable to ENumber of all possible outcomes of the experimentP(E) = \frac{\text{Number of outcomes favorable to } E}{\text{Number of all possible outcomes of the experiment}}

0≤P(E)≤10 \le P(E) \le 1

P(E)+P(Eˉ)=1P(E) + P(\bar{E}) = 1

P(Impossible Event)=0P(\text{Impossible Event}) = 0

P(Sure Event)=1P(\text{Sure Event}) = 1

💡Examples

Problem 1:

A die is thrown once. Find the probability of getting (i) a prime number; (ii) a number lying between 22 and 66.

Solution:

The possible outcomes when a die is thrown are 1,2,3,4,5,61, 2, 3, 4, 5, 6. So, total outcomes n(S)=6n(S) = 6. (i) Prime numbers are 2,3,52, 3, 5. Number of favorable outcomes n(E)=3n(E) = 3. P(prime number)=36=12P(\text{prime number}) = \frac{3}{6} = \frac{1}{2} (ii) Numbers between 22 and 66 are 3,4,53, 4, 5. Number of favorable outcomes n(F)=3n(F) = 3. P(number between 2 and 6)=36=12P(\text{number between 2 and 6}) = \frac{3}{6} = \frac{1}{2}

Explanation:

We identify the total number of outcomes first (66 for a die). Then we count how many of those outcomes satisfy the given condition to find the probability using the ratio n(E)n(S)\frac{n(E)}{n(S)}.

Problem 2:

If P(E)=0.07P(E) = 0.07, what is the probability of 'not EE'?

Solution:

We know that for any event EE, P(E)+P(Eˉ)=1P(E) + P(\bar{E}) = 1. Given P(E)=0.07P(E) = 0.07, P(Eˉ)=1−P(E)P(\bar{E}) = 1 - P(E) P(Eˉ)=1−0.07P(\bar{E}) = 1 - 0.07 P(Eˉ)=0.93P(\bar{E}) = 0.93

Explanation:

This uses the concept of complementary events, where the sum of the probability of an event happening and the probability of it not happening is always equal to 11.

Problem 3:

One card is drawn from a well-shuffled deck of 5252 cards. Calculate the probability that the card will be a king of red color.

Solution:

Total number of outcomes n(S)=52n(S) = 52. In a deck of 5252 cards, there are 22 red kings (one of Hearts and one of Diamonds). Number of favorable outcomes n(E)=2n(E) = 2. P(Red King)=252=126P(\text{Red King}) = \frac{2}{52} = \frac{1}{26}

Explanation:

A standard deck has 44 kings in total, 22 of which are red and 22 of which are black. The probability is the number of red kings divided by the total number of cards.