Get comprehensive solutions to your questions with the help of IDNLearn.com's experts. Discover in-depth answers from knowledgeable professionals, providing you with the information you need.
Sagot :
To determine the expected return per roll when rolling three fair 6-sided dice and having the given reward/loss conditions, we need to consider all possible outcomes and the corresponding probabilities. Here's a detailed step-by-step solution:
### Step 1: Determine the Total Number of Possible Outcomes
When rolling three 6-sided dice, the total number of possible outcomes is calculated by:
[tex]\[ 6 \times 6 \times 6 = 6^3 = 216 \][/tex]
Thus, there are 216 possible outcomes when rolling three dice.
### Step 2: Calculate Probabilities and Rewards for Each Case
There are three distinct cases to consider based on the roll results and the given conditions:
#### Case 1: All Three Dice Show the Same Number
In this scenario, all three dice show the same number (e.g., 1, 1, 1 or 2, 2, 2, etc.). There are 6 possible ways this can happen (one for each possible number on the dice).
[tex]\[ \text{Probability (all same)} = \frac{6 \text{ outcomes}}{216 \text{ possible outcomes}} = 0.0278 \][/tex]
[tex]\[ \text{Reward} = \$20 \][/tex]
#### Case 2: Exactly Two of the Numbers Are the Same
In this scenario, exactly two of the three dice show the same number and the third die shows a different number (e.g., 1, 1, 2 or 2, 2, 3, etc.).
To calculate the number of outcomes:
- Choose the number that appears twice: 6 ways.
- Choose the die that shows the different number: 5 remaining choices.
- Choose which die shows the different number: 3 ways.
Therefore, the number of favorable outcomes is:
[tex]\[ 3 \text{ (different die positions)} \times 6 \text{ (choices for pair)} \times 5 \text{ (choices for different number)} = 90 \][/tex]
[tex]\[ \text{Probability (two same)} = \frac{90 \text{ outcomes}}{216 \text{ possible outcomes}} = 0.4167 \][/tex]
[tex]\[ \text{Reward} = \$10 \][/tex]
#### Case 3: All of the Numbers Are Different
In this scenario, all three dice show different numbers (e.g., 1, 2, 3 or 2, 4, 5, etc.).
To calculate the number of outcomes:
- Choose three different numbers from six dice: [tex]\( \binom{6}{3} \text{ ways} \)[/tex].
- The number of permutations of these 3 distinct numbers: [tex]\(3! \text{ ways (factorial of 3)} = 6\)[/tex].
Therefore, the number of favorable outcomes is:
[tex]\[ 6 \text{ (choices from 6 numbers)} \times 5 \text{ (remaining 5 numbers)} \times 4 \text{ (remaining 4 numbers)} = 120 \][/tex]
[tex]\[ \text{Probability (all different)} = \frac{120 \text{ outcomes}}{216 \text{ possible outcomes}} = 0.5556 \][/tex]
[tex]\[ \text{Reward} = -\$2 \][/tex]
### Step 3: Calculate the Expected Return
Using the probabilities and rewards for each case, we can calculate the expected return:
[tex]\[ E(\text{return}) = (\text{Probability (all same)} \times \text{Reward (all same)}) + (\text{Probability (two same)} \times \text{Reward (two same)}) + (\text{Probability (all different)} \times \text{Reward (all different)}) \][/tex]
Substituting the values:
[tex]\[ E(\text{return}) = (0.0278 \times 20) + (0.4167 \times 10) + (0.5556 \times (-2)) \][/tex]
[tex]\[ E(\text{return}) = 0.556 + 4.167 - 1.111 = 3.612 \][/tex]
### Step 4: Round to the Nearest Cent
The expected return rounded to the nearest cent is:
[tex]\[ \text{Expected return} = \$3.61 \][/tex]
So, the expected return per roll is [tex]\(\boxed{3.61}\)[/tex] dollars.
### Step 1: Determine the Total Number of Possible Outcomes
When rolling three 6-sided dice, the total number of possible outcomes is calculated by:
[tex]\[ 6 \times 6 \times 6 = 6^3 = 216 \][/tex]
Thus, there are 216 possible outcomes when rolling three dice.
### Step 2: Calculate Probabilities and Rewards for Each Case
There are three distinct cases to consider based on the roll results and the given conditions:
#### Case 1: All Three Dice Show the Same Number
In this scenario, all three dice show the same number (e.g., 1, 1, 1 or 2, 2, 2, etc.). There are 6 possible ways this can happen (one for each possible number on the dice).
[tex]\[ \text{Probability (all same)} = \frac{6 \text{ outcomes}}{216 \text{ possible outcomes}} = 0.0278 \][/tex]
[tex]\[ \text{Reward} = \$20 \][/tex]
#### Case 2: Exactly Two of the Numbers Are the Same
In this scenario, exactly two of the three dice show the same number and the third die shows a different number (e.g., 1, 1, 2 or 2, 2, 3, etc.).
To calculate the number of outcomes:
- Choose the number that appears twice: 6 ways.
- Choose the die that shows the different number: 5 remaining choices.
- Choose which die shows the different number: 3 ways.
Therefore, the number of favorable outcomes is:
[tex]\[ 3 \text{ (different die positions)} \times 6 \text{ (choices for pair)} \times 5 \text{ (choices for different number)} = 90 \][/tex]
[tex]\[ \text{Probability (two same)} = \frac{90 \text{ outcomes}}{216 \text{ possible outcomes}} = 0.4167 \][/tex]
[tex]\[ \text{Reward} = \$10 \][/tex]
#### Case 3: All of the Numbers Are Different
In this scenario, all three dice show different numbers (e.g., 1, 2, 3 or 2, 4, 5, etc.).
To calculate the number of outcomes:
- Choose three different numbers from six dice: [tex]\( \binom{6}{3} \text{ ways} \)[/tex].
- The number of permutations of these 3 distinct numbers: [tex]\(3! \text{ ways (factorial of 3)} = 6\)[/tex].
Therefore, the number of favorable outcomes is:
[tex]\[ 6 \text{ (choices from 6 numbers)} \times 5 \text{ (remaining 5 numbers)} \times 4 \text{ (remaining 4 numbers)} = 120 \][/tex]
[tex]\[ \text{Probability (all different)} = \frac{120 \text{ outcomes}}{216 \text{ possible outcomes}} = 0.5556 \][/tex]
[tex]\[ \text{Reward} = -\$2 \][/tex]
### Step 3: Calculate the Expected Return
Using the probabilities and rewards for each case, we can calculate the expected return:
[tex]\[ E(\text{return}) = (\text{Probability (all same)} \times \text{Reward (all same)}) + (\text{Probability (two same)} \times \text{Reward (two same)}) + (\text{Probability (all different)} \times \text{Reward (all different)}) \][/tex]
Substituting the values:
[tex]\[ E(\text{return}) = (0.0278 \times 20) + (0.4167 \times 10) + (0.5556 \times (-2)) \][/tex]
[tex]\[ E(\text{return}) = 0.556 + 4.167 - 1.111 = 3.612 \][/tex]
### Step 4: Round to the Nearest Cent
The expected return rounded to the nearest cent is:
[tex]\[ \text{Expected return} = \$3.61 \][/tex]
So, the expected return per roll is [tex]\(\boxed{3.61}\)[/tex] dollars.
We appreciate your contributions to this forum. Don't forget to check back for the latest answers. Keep asking, answering, and sharing useful information. Your questions deserve reliable answers. Thanks for visiting IDNLearn.com, and see you again soon for more helpful information.