# RD Sharma Class 10 Chapter 13 (Probability) Solutions

ShareProbability is a measure of determining whether an event will take place or not. Before you solve a question of this chapter, you must ensure that all the experiments have equally likely outcomes.

You must develop an understanding of basic terminologies of probability, including complementary events, impossible event, sure event etc. before you start attempting extra questions from **RD Sharma Class 10 Chapter-13**. The first exercise contains a total of 72 questions with varying levels of difficulty. You may refer to RD Sharma Solutions for cross-checking your answers.

## RD Sharma Class 10 Chapter 13 (Probability) Solutions

Chapter 1 - Real Numbers |

Chapter 2 - Polynomials |

Chapter 3 - Pair of Linear Equations in Two Variables |

Chapter 4 - Triangles |

Chapter 5 - Trigonometric Ratios |

Chapter 6 - Trigonometric Identities |

Chapter 7 - Statistics |

Chapter 8 - Quadratic Equations |

Chapter 9 - Arithmetic Progressions |

Chapter 10 - Circles |

Chapter 11 - Constructions |

Chapter 12 - Some Application of Trigonometry |

Chapter 13 - Probability |

Chapter 14 - Co-ordinate Geometry |

Chapter 15 - Areas Related to Circles |

Chapter 16 - Surface Areas and Volumes |

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**Important formulas of Probability Class 10 | RD Sharma**

1. To calculate the theoretical probability of an event E, use the following formula.

P(E) = Number of outcomes favorable to E/ Number of total outcomes of the experiment

2. The probability of an event E is a number P(E) such that

0 ≤ P(E) ≤ 1

3. The sum of the probability of complementary events is equal to 1.

P(E) + P(|E|) = 1, where E is an event and |E| is not an event

4. The probability of a sure event = 1

5. The probability of an impossible event = 0

**Concepts in RD Sharma Class 10 Chapter-13**

The best way to crack a question is to determine the number of favorable outcomes out of the total number of possible outcomes. In some questions, you will come to a point when you can make use of certain given conditions and obtain the answer. For instance, the probability of a certain event is 1 whereas the probability of an impossible event is 0

Below are the topics that are part of Chapter-13 Probability

- Introduction
- Probability- A Theoretical Approach
- Sure Event
- Impossible Event
- Elementary Event
- Complementary Events