Lesson Notes By Weeks and Term v4 - SHS 2
ORGANISING, REPRESENTING AND INTERPRETING DATA
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ORGANISING, REPRESENTING AND INTERPRETING DATA
Download the Lessonotes Mobile Ghana app for faster lesson access on Android and iPhone.
Subject: Additional Mathematics
Class: SHS 2
Term: 2nd Term
Week: 19
Grade code: 2.4.1.LI.2
Strand code: 4
Sub-strand code: 1
Content standard code: 2.4.1.CS.1
Indicator code: 2.4.1.LI.2
Theme: HANDLING DATA
Subtheme: ORGANISING, REPRESENTING AND INTERPRETING DATA
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In our daily lives in Ghana, we are surrounded by data, even if we don't always call it that. A waakye seller knows her busiest times of the day. A trotro driver knows which routes are most profitable. The Ghana Health Service tracks malaria cases to decide where to distribute mosquito nets. All these decisions are based on collecting and understanding information, or data. This lesson moves beyond just collecting data. We will learn the mathematical tools to organise, analyse, and, most importantly, interpret this data. This will enable us to find patterns, make informed decisions, and tell a clear story with numbers, a skill essential for further studies and many future careers.
Data analysis is a process. We start with raw, messy numbers and turn them into clear, useful insights. A. Organising Data: The Frequency Distribution Table
Raw data is just a list of numbers. It's hard to see any patterns. Our first step is to organise it. For a large dataset, we use a grouped frequency distribution table. Classes/Intervals: We group the data into ranges of a specific size (e.g., 10-19, 20-29). Frequency (f): The number of data points that fall into each class. Mid-point (x): The middle value of each class. It represents all values in that class for calculation purposes. To find it, add the upper and lower class limits and divide by 2. Example: For class 10-19, midpoint x = (10+19)/2 = 14.5.