# Grade 7 Mathematics Module: Analysis and Interpretation of Statistical 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. It is here to help you learn how to analysis and interpret statistical data. This module is designed to be self-sufficient for the current learning situation. The language used recognizes your vocabulary level of students. The lessons are arranged to follow the standard sequence of the course in the curriculum guide. However, the order in which you read them can be changed to correspond with the textbook you are now using.

The module is divided into two lessons, namely:

• Lesson 1 – Statistical Measures in Analysis and Interpretation of Data.
• Lesson 2 – Drawing Conclusions from Statistical Data.

After going through this module, you are expected to:

1. use appropriate statistical measures in analyzing and interpreting statistical data; and

2. draw conclusions from graphic and tabular data and measures of central tendency and variability.

MATH7-Q4-MOD6

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