Monkey in 40s: Probability of Picking Right Monkey in US Texas

  • Thread starter Endarmacional
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In summary, the purpose of the experiment is to determine the probability of randomly selecting a monkey from a group of 40 monkeys in the state of Texas. The probability is calculated by dividing the number of right monkeys (1) by the total number of monkeys (40), resulting in a probability of 1/40 or 2.5%. The probability can change if the experiment is repeated, but the outcome may differ due to chance. Factors such as the size and location of the monkey population, as well as specific characteristics of the monkeys, can affect the probability. This experiment can be applied in real life situations involving random selection, such as in surveys or statistical analysis.
  • #1
Endarmacional
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Problem:

A cage of 40 monkeys brought originally from England to US's Texas, one got sick of an unknown disease. How can I find the probability to pick up the right monkey that is not sick but next to the sick one.
 
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  • #2
First you will have to define what you mean by "next to". Are you assuming that the monkeys are lined up in some way?
 
  • #3


The probability of picking the right monkey in this situation would depend on a few factors. First, we would need to know how many monkeys are currently in the cage. If there are still 40 monkeys in the cage, then the probability of picking the right one would be 1 in 40, or 2.5%. However, if some of the monkeys have already been removed due to the sick one, then the probability would be higher.

Additionally, we would need more information about the health status of the monkeys. If the sick monkey is showing symptoms of a highly contagious disease, then the probability of picking a healthy monkey would be lower. But if the disease is not easily transmitted, then the probability would be higher.

It is also important to consider the actions taken by the owner or caretaker of the monkeys. If they have already isolated the sick monkey and taken precautions to prevent the spread of the disease, then the probability of picking a healthy monkey would be higher. On the other hand, if proper measures have not been taken, then the probability could be lower.

In any case, it is important to prioritize the health and well-being of the monkeys and take necessary precautions to prevent the spread of the disease. It may also be helpful to consult with a veterinarian or animal expert for guidance in this situation.
 

1. What is the purpose of the experiment?

The purpose of this experiment is to determine the probability of randomly selecting a monkey from a group of 40 monkeys in the state of Texas in the United States.

2. How is the probability of picking the right monkey calculated?

The probability of picking the right monkey is calculated by dividing the number of right monkeys (1) by the total number of monkeys (40), resulting in a probability of 1/40 or 2.5%.

3. Can the probability change if the experiment is repeated?

Yes, the probability can change if the experiment is repeated. Each time the experiment is repeated, the probability of picking the right monkey remains 1/40, but the actual outcome may differ due to chance.

4. What factors can affect the probability of picking the right monkey?

The probability of picking the right monkey may be affected by factors such as the size of the monkey population, the geographical location, and the specific characteristics of the monkeys being selected (e.g. age, gender, etc.). Other factors such as human error or biased sampling techniques may also impact the probability.

5. How can this experiment be applied in real life?

This experiment can be applied in real life situations where random selection is involved, such as in surveys or polls. It can also be used in statistical analysis to determine the likelihood of certain outcomes or events occurring.

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