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.
In the previous module, you were introduced to what hypothesis testing is and other terms related to it. You were able to determine the null and alternative hypothesis in given statistical hypotheses. You also learned to identify the steps used in hypothesis testing.
With this module, you will learn how to identify the parameter to be tested in a statistical hypothesis. The first step in hypothesis testing, defining the parameter, will be given emphasis in this module.
After going through this module, you are expected to:
1. define the parameters used in statistical analysis; and
2. identify the parameter to be tested in a real-life problem.