Lab Report

A Probability Analysis of Dice Sums

Ruijie Xue

Course: College Writing for Engineers and Computer Scientists

Instructor: Mr. Bubrow

Date: October 22, 2025

“A Probability Analysis of Dice Sums”

Abstract

This experiment studies the probability distribution that occurs when two uniform six-sided dice roll repeatedly. A total of 200 throws were made, and the sum of the two dice was recorded to compare the experimental and theoretical probabilities. The results show that the sum of 7 occurs at the highest frequency, while the sums of 6 and 8 occur almost at the same frequency but slightly lower than 7, which is in line with the theoretical expectation based on the number of possible combinations of each sum. Due to the limited number of trials, the minor deviations were attributed to random variations.

Introduction 

Probability is the study and measurement of the likelihood of an event occurring. It provides a method to predict uncertain outcomes and is an important tool for data analysis and decision-making. In this experiment, we study probability by rolling two dice. The purpose of the experiment is every possible and occurring probability. My hypothesis is that the frequency of the sum of 7 should be the highest, while the probabilities of the sum of 6 and 8 should be equal, both slightly lower than 7. In the following, I will describe my research methods, present the experimental results, analyze our findings, and discuss the conclusions.

Materials and Methods

Material

  1. Two six-sided dice
  2. A spreadsheet used for recording data
  3. A calculator for calculating totals and percentages

Method

  1. The method involves rolling the dice 200 times under the same conditions.
  2. Record the value of the dice and the total sum after each roll.
  3. Count the number of times each sum appears.
  4. Calculate the experimental probability of each sum using the following method:

P= Number of occurrences​/ 200 

  1. Compare the experimental results with theoretical probabilities for two dice.

Results

This section presents the overall experimental results of 200 dice rolls. We mainly focus on the probability of 7 occurring and the frequency of 6 and 8 occurring.

sumFrequencyProbability
260.03
3120.06
4160.08
5200.1
6260.13
7340.17
8280.14
9200.1
10220.11
1190.045
1270.035
total2001

Figure 1 — Distribution of Dice Sums

Figure 2 –  Bar Chart of  Distribution of Dice Sums

Analysis

The results of this experiment support the hypothesis proposed in the introduction. Among the 200 dice rolls, the sum of 7 occurred most frequently (17%), while the sums of 6 (13%) and 8 (14%) were almost equal, but still differed by 1%. This result is basically consistent with the assumption. This model predicts that 7 is the most likely outcome because it can form the most combinations, namely (1,6), (2,5), (3,4), (4,3), (5,2), (6,1). Then, the combination of 6 and 8 is the same. 6 are (1, 5) (2, 4), (3), (4, 2), 7 (1, 6), (2, 5), (3, 4), (4, 3) (5, 2). However, the combination of 6 and 8 is less than 7, so the probability is smaller than 7. The slight difference between the experimental probability and the theoretical probability might be caused by the limited sample size, because 200 trials may not be able to completely eliminate errors.

A similar conclusion was reached by Lukac and Engel (2010) in their peer-reviewed article “Investigation of Probability Distributions Using Dice Rolling Simulation” published in The Australian Mathematics Teacher. They use computer technology to effectively simulate rolling multiple dice. As they wrote, “Galileo Galilei was interested in the sums of the scores on the dice and explained why the sum 10 occurs more frequently than the sum 9 when rolling three dice. The justification is based on the list of all possibilities of how the sums 9 and 10 can be obtained with the three dice. There are more possibilities for the sum 10 than for the sum 9 and this is the reason why the sum 10 occurs more frequently than the sum 9 in a large number of repeated random experiments. Analogously, median sums are the most probable when summing the scores on several dice, because there are more possibilities to obtain them.” This theoretical reasoning supports my experimental results. The experiment also shows that the median appears most frequently, and the median of the sum of my two dice is 7.

Conclusion

The experimental probability is consistent with the theoretical expectation when two dice are rolled. The results show that the sum of 7 occurs at the highest frequency, while the sum of 6 and 8 occurs almost at the same frequency but at a slightly lower frequency. These findings confirm the initial hypothesis and indicate that statistically, more possible combinations of results are more likely to occur.

The consistency between experimental data and theoretical models enhances the reliability of probability theory in predicting actual random events. As supported by Lukac and Engel, the median of and is the most likely because they can be obtained through the most methods and the resulting images are close to a normal distribution. Future research can increase the number of dice rolls, including computer simulations, to make the experimental results more accurate.

References

  1. Lukac, S., & Engel, R. (2010). Investigation of Probability Distributions Using Dice Rolling Simulation. Australian Mathematics Teacher, 66(2), 30–35.

Appendix

Data from rolling two dices 200 times

Roll #Die 1Die 2SumRoll #Die 1Die 2Sum
1257100134
26612101213
32461026612
44371034610
54610104112
6213105448
73141066612
86171075611
9145108639
10213109527
11358110358
12167111538
134610112358
14224113527
15459114213
16639115628
17538116314
18213117257
19235118527
205381195510
21538120268
22336121246
231561226410
243471235510
25527124358
26268125112
27448126325
286612127516
29123128235
30156129628
315510130235
324610131347
33459132112
34426133246
35437134167
36617135628
37257136235
382241374610
39257138246
40369139257
41112140358
42639141628
433471426410
44336143213
45459144325
46314145459
47459146358
48415147167
49268148268
50336149167
513691506511
52224151415
532241525611
54156153112
55437154246
5655101554610
57235156516
58224157448
595510158538
60246159415
613361605510
62167161112
635611162516
642571636612
655510164516
66437165516
67213166415
685611167336
69415168617
70224169235
71347170213
725510171415
73235172268
74213173134
756410174448
76347175549
77325176437
783471776410
79123178134
80314179246
81459180145
8266121815510
83617182358
84639183549
851451845611
86538185459
87516186415
88448187336
89527188549
9055101896511
914591904610
92527191459
935491925611
945271936612
95314194639
96213195224
9756111965510
98156197617
99224198358
100134199426
101213200246