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The five-number summary of the given dataset (weights of 20 students in kg) is as follows:

1. **Minimum**: 8.2 kg
2. **Q1 (First Quartile)**: 8.95 kg
3. **Median**: 10.05 kg
4. **Q3 (Third Quartile)**: 12.0 kg
5. **Maximum**: 16.1 kg

Would you like more details or have any further questions? 

Here are 5 related questions to expand your understanding:
1. How is each component of the five-number summary calculated?
2. What does the interquartile range (IQR) represent, and how can it be calculated from the five-number summary?
3. How would adding an outlier to the data affect the five-number summary?
4. What are the uses of a box plot in representing the five-number summary visually?
5. Can the five-number summary be used to detect skewness in the data distribution?

**Tip**: The interquartile range (IQR) can be a good measure of data spread and is calculated as \( Q3 - Q1 \). It helps to identify outliers.

The dataset below shows the weight (in kg) of 20 students selected randomly from the Brandon School Division. Determine the following: (a) the 5 number summary.

This page explains how to calculate the five-number summary for a dataset containing the weights of 20 students from the Brandon School Division. The summary includes the minimum, first quartile (Q1), median, third quartile (Q3), and maximum values of the dataset.

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