1. What is Relative Frequency?

Relative frequency is the fraction or proportion of times a value occurs in a dataset compared to the total number of observations. It's a fundamental concept in statistics for understanding probability distributions.

2. How Does the Calculator Work?

The calculator uses the relative frequency formula:

Where:

• \( count \) — Number of times the event occurs
• \( total \) — Total number of observations

Explanation: The formula calculates what proportion of the total observations a particular count represents.

3. Importance of Relative Frequency

Details: Relative frequency is essential for understanding probability distributions, comparing datasets of different sizes, and making statistical inferences.

4. Using the Calculator

Tips: Enter the count (must be ≥0) and total (must be >0). The calculator will compute the relative frequency as a decimal between 0 and 1.

5. Frequently Asked Questions (FAQ)

Q1: What's the difference between frequency and relative frequency?
A: Frequency is the raw count, while relative frequency is the proportion compared to the total.

Q2: Can relative frequency be greater than 1?
A: No, it always ranges between 0 (never occurs) and 1 (always occurs).

Q3: How is relative frequency related to probability?
A: Relative frequency approximates probability when you have many observations (Law of Large Numbers).

Q4: What if my count is greater than total?
A: This shouldn't happen - count must be ≤ total for meaningful results.

Q5: How do I convert relative frequency to percentage?
A: Multiply by 100 (e.g., 0.25 RF = 25%).