Lab Report

Unveiling Chance:

A Statistical Analysis of Dice Rolls

Writing for Engineering

Al Narcida

March 8th, 2024

Abstract:

         In this lab report, a digital simulation of rolling 2 die is simulated 100 times and the results are recorded. In this experiment, the possible outcomes range from a sum of 2-12. The most frequent sums that occurred were from 5-9. However, the outcome of 7 was the most frequent out of the 5-9 range and there was an outlier of 11 having a large frequency as well.

Introduction:

            To increase your chances of winning money in casinos or board games, it’s important to understand how to roll a lucky seven. Whether you’re playing with dice in a casino or at home, knowing the odds helps you decide how much to bet. Probability is important because it helps us figure out which numbers are likely to show up when we roll dice. Since there are 12 possible outcomes when rolling a pair of dice, rolling a seven is the most likely since seven has the most possible combinations, as shown in figures 1 and 2.

Fig. 1  – Combinations for each sum

Fig. 2 – Combinations for each sum, Visualized (Probability: Dice, n.d.)

Materials:

Method:

  1. Open online dice rolling simulator.
  2. Simulate rolling two, six-sided die.
  3. Record the outcome of the trial.
  4. Repeat steps two and three until you have reached 100 trials.

Results:

            After the 100 trials of rolling two, six-sided die, and recording the outcomes the results are shown in figure 3. Given the trials, the most frequent outcomes were from the range of 5-9. The least amount of outcomes were from 2-3 and, 10 and 12, although there was an outlier of 11.

Fig 3 – Frequency of Sums 

Analysis:

The frequency distribution of the sum of two dice rolls exhibits characteristics that deviate from the expected uniform distribution. The most frequent outcomes occur in the range of 5 to 9, with the highest frequency being 17 occurrences for a sum of 7, which similar to my hypotheses since the outcome of 7 has the most combinations. This clustering of frequencies around the middle range suggests that combinations leading to sums in this range are more probable than those leading to smaller or larger sums.

The least frequent outcomes occur in the range of 10 to 12. Notably, there is an outlier of 11, with 12 occurrences, while the expected frequency based on a uniform distribution would be higher. This outlier indicates a deviation from the expected pattern and warrants further investigation.

Conclusion:

            In conclusion, the experiment demonstrates that the frequency distribution of rolling two six-sided dice does not perfectly align with the theoretical uniform distribution. The most frequent outcomes occur in the range of 5 to 9 with the most frequent outcome being 7 like stated in my hypotheses, while the least frequent outcomes occur in the range of 10 to 12, with an outlier of 11 having a large frequency. Further experiments and analysis are necessary to determine the underlying factors contributing to these deviations and to refine our understanding of probability in dice rolling scenarios. Therefore, when there are high stakes, playing a game that involves rolling dice, you now know what to choose.

Work Cited:

Appendix:
Table of results:

Dice Rolls
TrialOutcome of Roll
19
25
35
47
511
64
77
87
911
105
1111
1210
138
144
1511
1610
179
187
1912
2010
217
2211
238
244
256
267
2711
283
296
306
315
324
334
3410
356
369
377
383
396
409
417
427
439
446
455
465
4710
489
497
5012
5111
529
536
549
557
569
579
5810
597
605
618
6210
639
6411
656
665
6711
685
694
706
718
728
736
749
7511
768
7711
787
795
807
815
8212
835
8411
852
867
879
886
892
9010
913
925
932
949
955
964
977
988
997
1008