ORGANISING, REPRESENTING AND INTERPRETING DATA
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Subject: Additional Mathematics
Class: SHS 1
Term: 2nd Term
Week: 14
Grade code: 1.4.1.LI.4
Strand code: 4
Sub-strand code: 1
Content standard code: 1.4.1.CS.1
Indicator code: 1.4.1.LI.4
Theme: HANDLING DATA
Subtheme: ORGANISING, REPRESENTING AND INTERPRETING DATA
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In our daily lives in Ghana, we are constantly surrounded by information, or *data*. This can be the prices of tomatoes at Makola Market, the number of goals scored by Asante Kotoko in the last season, or the daily 'dumsor' schedule in our community. Simply having this data is not enough; we need to arrange and present it in a way that is easy to understand. This lesson will equip you with the skills to organise raw data, represent it visually using different types of graphs, and most importantly, to think critically and decide which type of graph tells the most accurate and useful story for a particular situation.
A. Organising Data: The Frequency Distribution Table
Before we can draw any graph, we must first organise our raw data. Raw data is information that has been collected but not yet arranged or processed. A Frequency Distribution Table is a simple and powerful tool to do this. Frequency: The number of times a particular value or item appears in a dataset. Tally: A system of using strokes to count the frequency. We group them in fives ( `////` ) for easy counting.