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.
So far, you’ve already learned how to formulate null and alternative hypotheses, identify appropriate test statistic, look for critical values, identify the critical region, and compute for the value of the test statistic.
In the previous module, you studied about constructing hypotheses based on assumptions made. You’ve learned how to determine the appropriate test statistic to be used and solve its value in a given situation as well as how to identify the critical value and draw the critical region.
In this module, you will apply your knowledge and skills on solving problems in hypothesis testing. Eventually, you will decide whether you will reject the null hypothesis or not.
After going through this module, you are expected to:
1. identify the steps in hypothesis testing; and
2. solve problems involving test of hypothesis on the population mean.
Before you proceed to the lesson, make sure to answer first the questions on the “What I Know” portion.