Frequency distributions are a great tool for making sense of data in university statistics.

They take information and sort it into groups. This way, we can quickly spot patterns.

Let’s say you have exam scores from 100 students. You can make a frequency distribution that shows how many students scored in different groups, like:

• 0-49
• 50-69
• 70-89
• 90-100

Benefits of Frequency Distributions:

• Clear Visualization: They help us see trends, like which score range is the most common.
• Data Management: Instead of looking at every single score, we can just look at the totals for each group.

Relative Frequencies:

When we calculate relative frequencies, we can show how parts relate to the whole.

For example, if 30 students scored between 70 and 89, the relative frequency would be:

30 students/100 total = 0.3, or 30%.

This makes it easy to compare different groups or sets of data.