Grade 10 Mathematics Module: Analyzing and Interpreting Research Data

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.

This module was designed and written with you in mind. Also, the scope of this module permits it to be used in many different learning situations. The arrangement of the lessons follows the standard sequence of the course. But the pacing in which you read the contents and answer the exercises in this module is dependent on your ability.

This module is here to indulge you in using statistical methods in research data. It will help you identify what descriptive statistics you discussed since Math 7 is appropriate in analyzing and interpreting research data. After going through this module, it is expected that you will be able to:

1. identify the level of measurement of a variable, and

2. identify which descriptive measure is appropriate to use in analyzing data.

a. Measures of Central Tendency;

b. Measures of Dispersion or Variation; and

c. Measures of Position.

Grade 10 Mathematics Quarter 4 Self-Learning Module: Analyzing and Interpreting Research Data


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