A frequency table summarises data by showing how often each value (or group of values) occurs. To summarise the data, we calculate the averages (mean, median, and mode) and the range. Each measure provides different insights into the data set.
The mean is calculated using the formula:
\[ \text{Mean} = \frac{\text{Sum of (value} \times \text{frequency)}}{\text{Total frequency}} \]
Steps:
Example:
For the following frequency table:
| Value (\(x\)) | Frequency (\(f\)) | \(x \times f\) |
|---|---|---|
| 2 | 3 | 6 |
| 4 | 5 | 20 |
| 6 | 2 | 12 |
\[ \text{Total of } (x \times f) = 6 + 20 + 12 = 38 \] \[ \text{Total frequency} = 3 + 5 + 2 = 10 \] \[ \text{Mean} = \frac{38}{10} = 3.8 \]
The median is the middle value when the data is arranged in ascending order. For a frequency table:
Example: For the same table:
| Value (\(x\)) | Frequency (\(f\)) | Cumulative Frequency |
|---|---|---|
| 2 | 3 | 3 |
| 4 | 5 | 8 |
| 6 | 2 | 10 |
\[ \text{Median position} = \frac{10 + 1}{2} = 5.5 \] The 5.5th value is in the cumulative frequency of 8, corresponding to the value \(4\). \[ \text{Median} = 4 \]
The mode is the value with the highest frequency.
Example: From the table above, the highest frequency is \(5\), corresponding to the value \(4\): \[ \text{Mode} = 4 \]
The range measures the spread of the data and is calculated as the difference between the largest and smallest values. The formula is:
\[ \text{Range} = \text{Largest value} – \text{Smallest value} \]
Example: For the same table, the largest value is \(6\), and the smallest value is \(2\): \[ \text{Range} = 6 – 2 = 4 \]
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