Measure of Centre (Leaving Cert Mathematics): Revision Notes
📚 Revision Notes
Measure of Centre
Overview
The measure of centre summarises a data set by identifying a single value that represents the typical or central point of the data. The most common measures of the centre are the mean, median, and mode.
Key Measures of Centre
Mean:
- Also known as the average.
- Calculated by summing all the data values and dividing by the total number of values:
- Suitable for numerical data but sensitive to extreme values (outliers).
Median:
- The middle value when the data is ordered from smallest to largest.
- If the data set has an even number of values, the median is the average of the two middle numbers:
- Less affected by outliers than the mean.
Mode:
- The most frequently occurring value in the data set.
- A data set can have one mode (unimodal), more than one mode (multimodal), or no mode if all values occur only once.
Worked Examples
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Example 1: Calculating the Mean
Problem: Find the mean of the data set:
Solution:
Step 1: Add all the values:
Step 2: Divide by the total number of values ():
Answer: The mean is .
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Example 2: Finding the Median
Problem: Determine the median of the data set:
Solution:
Step 1: Arrange the values in ascending order: .
Step 2: Identify the middle value:
For (odd number of values), the middle value is
Answer: The median is .
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Example 3: Determining the Mode
Problem: Identify the mode of the data set:
Solution:
Step 1: Count the frequency of each value:
- : 3 times.
- : 1 time.
- : 2 times.
- : 1 time.
Answer: The mode is
Summary
- The mean is the average and is calculated as:
- The median is the middle value of the data when ordered, which is useful for avoiding the effects of outliers.
- The mode is the most frequent value in the data set and can indicate patterns in categorical data.
- Choose the appropriate measure based on the data type and presence of outliers:
- Use the mean for balanced data without outliers.
- Use the median for skewed data or when outliers are present.
- Use the mode for categorical data or to identify the most common value.