This Self-Learning Module (SLM) is prepared so that you, our dear learners, can continue your studies and learn while at home. Activities, questions, directions, exercises, and discussions are carefully stated for you to understand each lesson.
Each SLM is composed of different parts. Each part shall guide you step-by-step as you discover and understand the lesson prepared for you.
Pre-tests are provided to measure your prior knowledge on lessons in each SLM. This will tell you if you need to proceed on completing this module or if you need to ask your facilitator or your teacher’s assistance for better understanding of the lesson. At the end of each module, you need to answer the post-test to self-check your learning. Answer keys are provided for each activity and test. We trust that you will be honest in using these.
Please use this module with care. Do not put unnecessary marks on any part of this SLM. Use a separate sheet of paper in answering the exercises and tests. And read the instructions carefully before performing each task.
Good day Mathletes!
This module was designed and written to help you gain understanding and test your ability in describing experimental probability. We knew that a probability is the mathematics of chance. Probability is used to describe how likely or unlikely it is that something will happen. Probability may be given in fraction, decimal, or percent. The value of probability ranges from 0-1 (0 means the event is impossible to happen, while 1 means the event is certain to happen).
Knowing how to describe probability and how to use them in real-life situations is important. In real life, whenever we do an experiment, two things can happen, either the one we expect or the one that we do not. When the result is what we expected, then it is the favorable outcome. So, what are you waiting for? Stay focused and start-up.
At the end of this module, you are expected to:
- describe experimental probability;
- appreciate the importance of experimental probability.
Before going any further, let us check your understanding about describing experimental probability.