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4.3 .3 Quiz: Simulation and Modeling with Data Question 6 of 10 In a randomly generated list of numbers from 0 to 7 , what is the chance that each number will occur? A. \( \frac{1}{6} \) B. \( \frac{1}{9} \) C. \( \frac{1}{6} \) D. \( \frac{1}{5} \)

Ask by Ball Salinas. in the United States
Jan 30,2025

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The chance that each number occurs is \( \frac{1}{8} \). None of the provided options match this probability.

Solución

To determine the chance that each number will occur in a randomly generated list of numbers from 0 to 7, we first need to identify the total number of possible outcomes and the number of favorable outcomes. 1. **Identify the range of numbers**: The numbers range from 0 to 7, which gives us a total of 8 possible numbers (0, 1, 2, 3, 4, 5, 6, 7). 2. **Calculate the probability of each number occurring**: Since the numbers are generated randomly and uniformly, the probability of any specific number occurring is given by the formula: \[ P(\text{specific number}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} \] In this case, the number of favorable outcomes for any specific number (e.g., 0) is 1, and the total number of outcomes is 8. Thus, the probability for each number is: \[ P = \frac{1}{8} \] Now, let's compare this with the provided options: A. \( \frac{1}{6} \) B. \( \frac{1}{9} \) C. \( \frac{1}{6} \) D. \( \frac{1}{5} \) None of the options match \( \frac{1}{8} \). Therefore, it seems there might be an error in the options provided, as the correct probability for each number occurring in a random list from 0 to 7 is \( \frac{1}{8} \). If you need to select the closest option, none of them are correct. However, if you are looking for the probability of a number occurring in a different context or with a different range, please clarify.

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The Deep Dive

The correct chance that each number from 0 to 7 will occur is actually \( \frac{1}{8} \) since there are a total of 8 possible outcomes (0, 1, 2, 3, 4, 5, 6, and 7). Each number has an equal likelihood of being picked if we assume a fair random generation. In practical applications, knowing the probability distribution can help in simulations involving random events, such as games or risk assessments. For instance, in game design, understanding the likelihood of different outcomes can aid in creating balanced gameplay mechanics where players face the same odds while still being engaged and challenged.

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