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.

For class groups and homework, share this lesson page so learners also get the summary, objectives, and full lesson context.

Performance objectives

• Identify different quantitative data collection methods.
• Validate the appropriateness of selected methods.
• Collect real-life quantitative data using a chosen method.
• Discuss the strengths and limitations of various methods.

Lesson summary

This lesson is about becoming a data detective! Every day, decisions are made all around us in Ghana – by the government, by our headmasters, by business owners, and even in our homes. How do they make these decisions? They use data. Data, especially numerical data, helps us understand patterns and make informed choices. For example, the Ghana Statistical Service collects data to know how many schools or hospitals to build. An MTN or Vodafone agent collects data to know where to set up a new sales point. In this lesson, we will learn the professional methods used to collect this numerical data, how to choose the right tool for the job, and how to use it ourselves.

Lesson notes

A. What is Quantitative Data?

First, let's understand our main target. Quantitative Data is information that can be counted or measured. It is expressed in numbers. Think "Quantity". *Examples:* The number of students in this class (e.g., 45 students), the height of a student in centimetres (e.g., 165 cm), the price of a bottle of Malt (e.g., GH₵ 5.00), the number of goals scored by the Black Stars in a match (e.g., 2 goals).

It is different from Qualitative Data, which is descriptive and cannot be measured with numbers. It deals with qualities. *Examples:* The favourite colour of students (e.g., blue, red), the taste of waakye (e.g., delicious, spicy), opinions on a new school rule (e.g., "it is fair", "it is too strict").

In this lesson, our focus is entirely on collecting Quantitative (numerical) Data. B. Methods of Collecting Quantitative Data

Evaluation guide

• Identify and validate quantitative data collection methods (Survey/Questionnaire,
• Interviews, Observation, Existing Data, and Probability) and use them to collect
• everyday -life data.
• Project -based learning, Group discussions, think -pair share activities.