Lesson Notes By Weeks and Term v4 - SHS 1
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 1
Term: 2nd Term
Week: 16
Grade code: 1.4.1.LI.7
Strand code: 4
Sub-strand code: 1
Content standard code: 1.4.1.CS.1
Indicator code: 1.4.1.LI.7
Theme: HANDLING DATA
Subtheme: ORGANISING, REPRESENTING AND INTERPRETING DATA
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In our daily lives in Ghana, we are surrounded by data: the prices of tomatoes in Makola Market, the BECE scores of incoming SHS1 students, or the daily 'trotro' fares. It can be difficult to make sense of large amounts of information. Measures of central tendency are powerful statistical tools that help us summarize a whole set of data with a single, representative value. This lesson will equip you with the skills to calculate and interpret the three main "averages"—the mean, median, and mode—for both simple and complex datasets, and to wisely choose the best one to use in different situations.
This lesson is divided into three main parts: Part A: Measures of Central Tendency for Ungrouped Data Part B: Measures of Central Tendency for Grouped Data Part C: Choosing the Appropriate Measure Part A: Measures of Central Tendency for Ungrouped Data
Ungrouped data is a list of individual values or observations. These are also known as "raw data". The Mean (Arithmetic Average) The mean is the most common type of average. It is found by adding up all the values in the dataset and dividing by the total number of values. Formula: Mean (𝑥̄) = (Sum of all values) / (Number of values) = Σx / n