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 this module, you will learn how to compute the test statistic on a population mean particularly the t-test and z-test. It is a skill that you need to develop to be able to determine whether you reject the null hypothesis or otherwise (to be discussed in the next module). Perform each activity independently. If you find any difficulty in answering the exercises, you may ask the assistance of your teacher or you may consult your peers.
After going through this module, you are expected to:
1. determine the appropriate test statistic to be used in the given problem/situation; and
2. compute for the test statistic value (population mean).