Problem 28
Question
Eight horses are entered in a race.You randomly predict a particular order for the horses to complete the race. What is the probability that your prediction is correct?
Step-by-Step Solution
Verified Answer
The probability of correctly predicting the order is \( \frac{1}{40,320} \).
1Step 1: Understanding the Problem
First, let's comprehend what we're dealing with. We need to find the probability of predicting the exact order of finish for 8 horses in a race.
2Step 2: Identify Total Possible Outcomes
We need to determine in how many different ways the horses can finish the race. Since there are 8 horses, the number of permutations of these horses can be calculated using factorial notation: \[ 8! \]
3Step 3: Calculate the Number of Permutations
Calculate the factorial of 8. \[ 8! = 8 \times 7 \times 6 \times 5 \times 4 \times 3 \times 2 \times 1 = 40,320 \]This means there are 40,320 possible ways for the horses to finish the race.
4Step 4: Calculate Probability of Correct Prediction
Since you are predicting only one specific order, the probability of your prediction being correct is the reciprocal of the total number of outcomes. Therefore, \[ \text{Probability} = \frac{1}{40,320} \]
5Step 5: Final Interpretation
Your prediction is only one of the 40,320 possible outcomes. Thus, the probability your prediction is correct is extremely low.
Key Concepts
PermutationFactorialRacePrediction
Permutation
Understanding permutation is essential when calculating the order of events, especially in scenarios where sequence matters. Permutation differs from combination because order is important in permutation.
In the context of the horse race, permutation helps us determine the number of different ways the horses can finish the race. The formula for permutations of "n" items is represented by the factorial of "n", which in our problem is 8 horses. Thus, we calculate:
In the context of the horse race, permutation helps us determine the number of different ways the horses can finish the race. The formula for permutations of "n" items is represented by the factorial of "n", which in our problem is 8 horses. Thus, we calculate:
- Each horse represents a spot in the line-up, and thus, the permutations are calculated as: \[ 8! = 8 \times 7 \times 6 \times 5 \times 4 \times 3 \times 2 \times 1 = 40,320 \]
Factorial
The concept of factorial is deeply tied to permutations and combinations. A factorial, denoted by “!”, is the product of all positive integers less than or equal to a given positive integer. For example, \( n! \) (said as "n factorial") is calculated by multiplying \( n \times (n-1) \times (n-2) \times ... \times 1 \).
Factorials are crucial in probability, especially for calculating permutations, because they tell us how many ways we can arrange a set of n distinct items. In this horse race problem, we calculate the number of ways the horses can finish by finding \( 8! \), which equals 40,320.
Understanding factorials helps simplify complex probability and arrangement calculations, providing a quick way to compute potential sequences.
Factorials are crucial in probability, especially for calculating permutations, because they tell us how many ways we can arrange a set of n distinct items. In this horse race problem, we calculate the number of ways the horses can finish by finding \( 8! \), which equals 40,320.
Understanding factorials helps simplify complex probability and arrangement calculations, providing a quick way to compute potential sequences.
Race
In the context of probability, a race offers a rich example of how outcomes and predictions can vary with many possibilities. With multiple participants, each participant (horse) can finish in a different position, leading to a large number of possible results.
This variability illustrates key probability principles, as predicting the exact order of a race involves considering all permutations of the participants.
Every time you add a new competitor to the race, the number of possible finishes increases exponentially. For instance, with 8 horses, you have 40,320 ways they can finish, but adding just one more horse increases possibilities to \( 9! = 362,880 \).
This variability illustrates key probability principles, as predicting the exact order of a race involves considering all permutations of the participants.
Every time you add a new competitor to the race, the number of possible finishes increases exponentially. For instance, with 8 horses, you have 40,320 ways they can finish, but adding just one more horse increases possibilities to \( 9! = 362,880 \).
- This showcases how probability in races is not just about chance, but also about understanding permutations and factorials to grasp the complexity of potential outcomes.
Prediction
Making a prediction in the context of a race involves trying to guess the order in which participants finish. However, the probability of a correct prediction is remarkably low if we are considering the exact order of all participants, especially with a large number of them like in our horse race.
When predicting, it's beneficial to understand how probability works to realize just how vast the array of possibilities can be.
- In our problem, there is only 1 way out of 40,320 possibilities that your prediction can be precisely correct. That's a probability of:\[\text{Probability} = \frac{1}{40,320}\]
When predicting, it's beneficial to understand how probability works to realize just how vast the array of possibilities can be.
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