Probability of Winning Tickets in a Box with 80 Tickets and 10 People

In summary, a Random Probability Problem is a mathematical problem that involves calculating the likelihood of a certain outcome occurring when there are multiple possible outcomes. It is based on the principles of probability, which is the study of chance and uncertainty. In regular probability, the outcomes and their probabilities are known and can be calculated accurately. In random probability, the outcomes and their probabilities are unknown and can only be estimated through experimentation or simulation. To solve a Random Probability Problem, one must identify all possible outcomes and their respective probabilities and use mathematical formulas or statistical methods to calculate the likelihood of a specific outcome occurring. These types of problems have real-world applications in fields such as statistics, economics, finance, and gambling, and can be used in decision-making processes, risk
  • #1
Bachelier
376
0
In a box with 80 tickets, 10 people buy 10 tickets each. If there are 4 winning tickets drawn at random find the probability that
1) one person gets all 3 winning tickets
2) there are 3 different winners
3) some person gets two winners and someone else gets just one

for 1) 10 C 3 * 70 C 7

is the answer = -------------------- where C stands for chooses.
80 C 10

Thnks
 
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  • #2
Bachelier said:
In a box with 80 tickets, 10 people buy 10 tickets each.

That's 100 tickets :redface:

have the police been informed?
 

What is a Random Probability Problem?

A Random Probability Problem is a mathematical problem that involves calculating the likelihood of a certain outcome occurring when there are multiple possible outcomes. It is based on the principles of probability, which is the study of chance and uncertainty.

What is the difference between random probability and regular probability?

In regular probability, the outcomes and their probabilities are known and can be calculated accurately. In random probability, the outcomes and their probabilities are unknown and can only be estimated through experimentation or simulation.

How do you solve a Random Probability Problem?

To solve a Random Probability Problem, you need to identify all possible outcomes and their respective probabilities. Then, you can use mathematical formulas or statistical methods to calculate the likelihood of a specific outcome occurring.

What are some real-world applications of Random Probability Problems?

Random Probability Problems are commonly used in fields such as statistics, economics, finance, and gambling to analyze and predict outcomes. They can also be applied in decision-making processes, risk assessment, and quality control.

What is the role of sample size in Random Probability Problems?

The sample size, or the number of observations in a study, plays a crucial role in Random Probability Problems. A larger sample size generally leads to more accurate results and reduces the potential for error. However, the sample size should also be representative of the population being studied to ensure the validity of the results.

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