IQR Calculator - Online Interquartile Range & Box Plot
Enter a dataset to compute Q1, median, Q3, IQR, and highlight outliers. Visual box plot generated in canvas.
UD5 Toolkit
Calculate sum distributions, exact odds & cumulative probabilities for any dice combination
For multiple dice, you calculate the sum distribution using combinatorics. Each die has an equal chance of landing on any face. For n dice with f faces each, there are fn total possible outcomes. The number of ways to achieve a specific sum is calculated using dynamic programming or generating functions. Our tool instantly computes these combinations and converts them to percentages.
For 2d6 (two six-sided dice), the most common sum is 7, with a probability of 16.67% (6 out of 36 outcomes). This is because there are more ways to roll a 7 (1+6, 2+5, 3+4, 4+3, 5+2, 6+1) than any other sum. This bell-shaped distribution is why 7 is the most important number in games like Craps.
"At Least X" (also called cumulative probability from above) is the chance of rolling a sum greater than or equal to X. For example, "At Least 9" on 2d6 is 27.78% (10 out of 36). "At Most X" is the chance of rolling a sum less than or equal to X. These cumulative probabilities are essential for game design and strategic decision-making in tabletop RPGs.
A modifier (like +3 or -2) simply shifts the entire distribution without changing its shape. For example, 2d6+3 has the exact same probability curve as 2d6, just shifted up by 3 (sum range becomes 5-15 instead of 2-12). The standard deviation and the relative probabilities between sums remain identical.
Standard deviation measures how spread out the results are from the mean. A larger standard deviation means more variation and less predictability. For n dice with f faces: SD = β(n Γ (fΒ² - 1) / 12). For 1d20, the SD is about 5.77; for 3d6, it's about 2.96 (much tighter distribution).
Yes! Our tool supports custom dice faces from 2 up to 999. Simply enter your custom face count in the "Custom d" input field. This is useful for non-standard dice like d30, d14, or any theoretical die. The calculator uses the same exact combinatorial algorithm for any number of faces.
1d20 gives a uniform distribution β every result from 1 to 20 is equally likely (5% each). 3d6 produces a bell-shaped (normal-like) distribution centered around 10-11, making extreme results much rarer. A 3 or 18 on 3d6 occurs only 0.46% of the time, compared to 5% for any single number on a d20. Game designers choose between these based on desired predictability.
The "1 in X" format expresses probability as a ratio. It's calculated as: X = Total Outcomes / Favorable Outcomes. For example, rolling a 7 on 2d6 has 6 favorable outcomes out of 36 total, giving "1 in 6" odds (36/6 = 6). This format is popular in betting and gambling contexts as it's more intuitive than percentages for many people.
When you roll multiple dice and sum them, the Central Limit Theorem applies. Each die is an independent random variable, and their sum tends toward a normal (Gaussian) distribution as the number of dice increases. With just 3+ dice, the distribution already looks bell-shaped. The more dice you roll, the closer the approximation to a perfect bell curve.
Absolutely! This tool is perfect for Dungeons & Dragons, Pathfinder, and other tabletop RPGs. Use it to calculate success probabilities for ability checks, damage rolls, and saving throws. Understanding the math behind your rolls helps with character optimization, encounter balancing, and making informed tactical decisions during gameplay.
Enter a dataset to compute Q1, median, Q3, IQR, and highlight outliers. Visual box plot generated in canvas.
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