To create frequency distributions for their datasets, students can follow some easy steps.

1. Organize Your Data: Start by putting your data in order from smallest to largest. This will help you see patterns more clearly.

2. Choose Class Intervals: Pick suitable class intervals, which are the ranges you will group your data into. One way to decide how many groups to make is to use a formula. Although it sounds complicated, it helps you figure out how many bins, or categories, you should have. A simple way to understand this step is that you want your intervals to cover all the data.

3. Tally Frequencies: For each interval, count how many data points fit into it. You can do this by hand or use a computer if your dataset is big.

4. Create a Frequency Table: Make a table that shows each interval and how many data points belong to it. This table makes it easier to see your data at a glance.

5. Calculate Relative Frequencies: To understand your data better, find out the relative frequency for each interval. You do this by dividing the frequency (how many data points are in that interval) by the total number of data points. This gives you a fraction that shows how much each interval represents.

6. Visualize Your Data: Finally, use charts like histograms or bar graphs to show your data visually. These graphics help you quickly spot patterns or unusual points in your data.

By following these steps, students can create clear frequency distributions that help them understand their dataset better.