Lesson Notes By Weeks and Term v4 - SHS 1

Lesson Video

This page supports the lesson note with a companion video and a short classroom-ready summary.

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Performance objectives

• Define ungrouped and grouped data.
• Create frequency distribution tables for ungrouped data.
• Organise data into classes and create tables for grouped data.
• Understand how to represent data visually.

Lesson summary

This lesson introduces the fundamental skill of organising data. In our daily lives in Ghana, we are surrounded by information: the prices of tomatoes in Makola market over a week, the scores of the Black Stars in their last 20 matches, or the daily rainfall amounts in our region. Raw, unorganised data is like a pile of jumbled gari - it's hard to make sense of it. By organising data into tables, we turn that chaos into clear, useful information that helps us understand patterns and make better decisions. This skill is the foundation for all further statistical analysis.

Lesson notes

This lesson is divided into two main parts: handling ungrouped data and handling grouped data. Part 1: Ungrouped Data

Concept: Ungrouped data, also known as raw data, is information collected in its original, unorganised form. It is simply a list of values.

Example: Imagine we ask 20 students in our class how many siblings they have. The data we collect might look like this: `2, 3, 1, 0, 2, 4, 1, 1, 2, 3, 0, 5, 2, 1, 3, 2, 4, 1, 2, 3`

This is raw data. To understand it better, we use a frequency distribution table.

Evaluation guide

• Organise data into appropriate frequency distribution tables manually, and with Microsoft
• Excel.
• Group discussions, Talk for Learning and experiential learning.
• organise data by hand and/or with the use of Excel spreadsheet.