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 real life whenever we are confronted with problems, our decision-making skill is being tested. Before we decide, there are certain considerations and analysis of the given conditions must be made. Someone can be an expert problem solver if s/he is able to apply the learned concepts in a particular situation. Although problem solving has steps, someone may have his/her own way or techniques of solving a problem.
Meanwhile, in statistical analysis, there are steps that need to be followed in solving problems involving test of hypothesis on population proportion. The objective is for us to make a correct decision about the null hypothesis. It is whether we can confidently say that the change in our data is real, definite, and not attributed by chance.
After going through this module, you are expected to:
1. enumerate the steps in solving problems involving test of hypothesis on population proportion; and
2. solve problems involving test of hypothesis on the population proportion.