1. **Arrange the Data**: First, arrange the data in ascending or descending order.

2. **Determine the Number of Data Points**: Count the total number of data points in the set. Let's denote this value as \( n \).

3. **Identify the Middle Value(s)**:

- If \( n \) is odd, the median is the value at the position \( \frac{n + 1}{2} \).

- If \( n \) is even, the median is the average of the values at positions \( \frac{n}{2} \) and \( \frac{n}{2} + 1 \).

4. **Calculate the Median**:

- If \( n \) is odd, the median is the value at the position \( \frac{n + 1}{2} \).

- If \( n \) is even, the median is the average of the values at positions \( \frac{n}{2} \) and \( \frac{n}{2} + 1 \).

\[

\text{Median} = \begin{cases}

\text{Data}\left[\frac{n + 1}{2}\right] & \text{if } n \text{ is odd} \\

\frac{\text{Data}\left[\frac{n}{2}\right] + \text{Data}\left[\frac{n}{2} + 1\right]}{2} & \text{if } n \text{ is even}

\end{cases}

\]

Where:

- \( \text{Data}[i] \) represents the \( i \)th data point in the sorted list.

5. **Interpret the Median**: Once you've calculated the median, it represents the middle value of the dataset. It's often used as a measure of central tendency, indicating the value around which the data tend to cluster.

Let's consider an example to illustrate these steps:

Example:

Consider the following set of numbers: {2, 5, 8, 10, 12, 15, 17}

1. Arrange the data: {2, 5, 8, 10, 12, 15, 17}

2. Determine the number of data points: \( n = 7 \)

3. Since \( n \) is odd, the median is the value at the position \( \frac{n + 1}{2} = \frac{7 + 1}{2} = \frac{8}{2} = 4 \).

4. Calculate the median: Median = 10

So, the median of the given dataset is 10.