DSOT

Probability

Dice Sum Outcome Table Calculator

Enumerate exact sum counts and probabilities for identical fair dice, calculate a selected-sum probability, expected hits, and a benchmark gap.

Minimum possible sum-
Maximum possible sum-
Complete equally likely outcome count-
Ways to selected exact sum-
Selected exact-sum probability-
Selected probability as percentage-
Expected selected outcomes-
Final sum in table-
Selected probability minus entered comparison-

Decision view

Exact dice-sum probability distribution

Exact dice-sum probability distributionEach discrete sum has its own probability bar; adjacent outcomes are not connected as though the result were continuous.
Exact scenario comparisonSelected exact sum changes while all other entered assumptions remain constant.
Selected exact sumMinimum possible sumMaximum possible sumComplete equally likely outcome countWays to selected exact sumSelected exact-sum probabilitySelected probability as percentageExpected selected outcomesFinal sum in tableSelected probability minus entered comparison

Period-by-period detail

Exact dice-sum outcome table

Every displayed sum is counted from the complete fair-dice outcome distribution.

How to use Dice Sum Outcome Table Calculator

  1. Enter dice count and sides.
  2. Choose the displayed sum range and selected sum.
  3. Enter planned rolls and a comparison probability.
  4. Read the full discrete histogram and exact table.

Calculator guide

Understanding Dice Sum Outcome Table Calculator

Dice sums form a discrete distribution because each total has a specific number of ordered face combinations. Exact enumeration is more informative than treating all totals as equally likely.

Exact counts Bars come from combinations.
Discrete bars Sums are not connected continuously.
Selected sum One bar is highlighted.
Reconciliation All probabilities sum to one.

Calculation method

How the calculation works

Enumerate exact sum combinations for every displayed total from identical fair dice and divide each by the complete outcome space. Count the complete outcome space as s^d, count ordered outcomes producing each sum, and divide favorable ways by total outcomes.

Detailed calculation process

Enumerate the exact dice-sum distribution

The default uses two six-sided dice, displays sums 2 through 12, selects sum 8, and projects 200 independent rolls.

General formula: N = s^dw(k) = sum[j=0..floor((k-d)/s)] (-1)^j C(d,j)C(k-sj-1,d-1)p(k) = w(k)/NH = np(k)Delta = 100p(k)-B There are s choices for each of d independent dice. Inclusion-exclusion counts ordered combinations for exact sum k, and division by the complete outcome count produces its probability.

What each symbol means

d Number of identical dice (count).
s Sides per die (count).
N Total equally likely ordered outcomes.
k Selected exact sum.
w(k) Favorable ordered combinations for sum k.
p(k) Exact-sum probability (share).
n, H Planned rolls and expected selected hits.
B, Delta Entered comparison percent and probability-point gap.

Worked substitution with the default inputs

1. Set the possible sum interval k_min = d = 2k_max = ds = 2x6 = 12 Every displayed total must lie inside the physical range.
2. Count the complete outcome space N = 6^2 = 36 ordered outcomes Each die independently has six faces.
3. Count the selected sum w(8) = 5combinations = (2,6),(3,5),(4,4),(5,3),(6,2) Order matters because the two physical dice are distinct trials.
4. Convert count to probability p(8) = 5/36 = 0.138889100p(8) = 13.8889% Exact probability uses only the five favorable combinations.
5. Project and reconcile H = 200x5/36 = 27.7778Delta = 13.8889%-14% = -0.1111 points Expected hits are a long-run mean, not a guarantee of 28 results.

With two fair six-sided dice, sum 8 has 5 of 36 outcomes, a 13.8889% probability, and 27.78 expected hits in 200 rolls.

Purpose-built visual

Explore a discrete dice-sum histogram

Every sum has a separate probability bar, with the selected total highlighted and the comparison threshold drawn across the distribution.

Bars Exact sum probabilities.
Highlight Selected sum.
Threshold Entered comparison.
Table Count and probability detail.

Worked situations

Practical examples

  • Two d6 dice have 36 ordered outcomes.
  • Exactly five combinations total 8.
  • Middle sums have more ways than edge sums.

Better inputs

Useful tips

  • Display the complete possible interval when auditing probabilities.
  • Use exact probability for one sum.
  • Do not round probabilities before calculating expected hits.

Before relying on the result

Limitations and common mistakes

  • Dice are independent, fair, and identical.
  • Rerolls and conditional rules are excluded.
  • Expected frequency is not a prediction for one short session.

Reference

Key terms

Outcome space
All possible ordered results.
Favorable ways
Outcomes satisfying the selected sum.
Discrete distribution
Probability assigned to separate countable totals.
Expected hits
Trials multiplied by event probability.

Important note

Calculated directly from the entered values using the displayed formula and rounding settings.

Frequently asked questions

Are all sums equally likely?

No. Middle totals can be formed in more ways.

Why count ordered outcomes?

Each die can show a different face, so (2,6) and (6,2) are separate outcomes.

Will 200 rolls produce exactly 27.78 hits?

No. That is the long-run expected count.

Why use bars instead of a line?

Dice sums are discrete outcomes, not a continuous measurement.