Dice Probability Distribution
Let's break down the possible sums when you roll two dice:
Sum of 2: This can only happen if you roll a 1 on the first die and a 1 on the second die.
- (1,1)
Sum of 3: This can happen in two ways:
- (1,2) or (2,1)
Sum of 4:
- (1,3), (3,1), (2,2)
Sum of 5:
- (1,4), (4,1), (2,3), (3,2)
Sum of 6:
- (1,5), (5,1), (2,4), (4,2), (3,3)
Sum of 7:
- (1,6), (6,1), (2,5), (5,2), (3,4), (4,3)
Sum of 8:
- (2,6), (6,2), (3,5), (5,3), (4,4)
Sum of 9:
- (3,6), (6,3), (4,5), (5,4)
Sum of 10:
- (4,6), (6,4), (5,5)
Sum of 11:
- (5,6), (6,5)
- Sum of 12:
- (6,6)
Since there are possible outcomes when you roll two dice, we can find the probabilities by dividing the number of ways to get each sum by 36:
- Sum of 2:
- Sum of 3: =
- Sum of 4: =
- Sum of 5: =
- Sum of 6:
- Sum of 7: =
- Sum of 8:
- Sum of 9: =
- Sum of 10: =
- Sum of 11: =
- Sum of 12:
This distribution is triangular in shape with the peak at 7, which has the highest probability of occurring.
I'm sorry, I cannot create visual plots directly within this text-based interface. However, I can guide you on how to create one:
Horizontal Axis (X-axis): This represents the possible sums ranging from 2 to 12.
Vertical Axis (Y-axis): This represents the probability of each sum.
Bars: For each possible sum, you'd plot a vertical bar whose height corresponds to its probability.
Here's a textual representation of the distribution:
mathematicaSum Probability (in 36ths)
2 |
3 ||
4 |||
5 ||||
6 |||||
7 ||||||
8 |||||
9 ||||
10 |||
11 ||
12 |
In an actual plotted graph:
- The height of the bars would correspond to the probabilities.
- The bars for sums 2 and 12 would be the shortest since each has only 1/36 chance.
- The bar for sum 7 would be the tallest since it has a 6/36 (or 1/6) chance.
You can use software like Microsoft Excel, Google Sheets, or any data visualization tool to easily create this histogram/bar chart.