What is the probability of drawing the same numbers in a lottery multiple times?

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Discussion Overview

The discussion revolves around the probability of drawing the same set of numbers in a lottery across multiple draws. Participants explore the independence of lottery draws and the implications for calculating probabilities of repeated outcomes, raising questions about dependent versus independent events in this context.

Discussion Character

  • Exploratory
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that each lottery draw is independent, meaning the probability of drawing a specific set of numbers remains constant at P for each draw.
  • Others propose that the probability of drawing the same set of numbers multiple times could be expressed as P^2 for two draws, suggesting a different interpretation of independence.
  • A participant questions the consistency of the independence claim, arguing that if the probability changes when considering multiple draws, it implies some dependence on previous outcomes.
  • Another participant clarifies that while the probability of drawing a specific sequence twice is P^2, the probability of drawing the same numbers in any single draw remains P.
  • There is confusion regarding the interpretation of P^2 and its application, with some participants seeking clarification on how probabilities are calculated across multiple draws.
  • One participant uses the analogy of coin flips to illustrate that while the probability of a single event remains constant, the probability of a specific sequence occurring can be calculated differently.

Areas of Agreement / Disagreement

Participants express differing views on the implications of independence in lottery draws, with no consensus reached on how to interpret the relationship between single and multiple draws in terms of probability.

Contextual Notes

Participants highlight the need for clarification on the definitions of dependent and independent events, as well as the conditions under which probabilities are calculated for multiple draws. There is also uncertainty regarding the application of P^2 and how it relates to the concept of independence.

erotavlas
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This is a question relating to lotteries. Bascially everyone says that each draw is totally independent of each other. So the probability of generating a sequence of numbers each time is the same no matter what the numbers are. However for two draws, there must be a way to calculate the probability that the same set of numbers would be drawn a second, third, fourth... time. This event would be extremely unlikely yet still could occur.
Is ther a value we can give to these unlikely occurences?
 
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Let P be the probability that a set is drawn. Then the probability that, if a set is drawn, it is repeated on the next draw is P. On the next two draws it is P2, etc.
 


Thanks
So then why is it each draw is considered independent of each other, if say the next draw probability P is independent on not having the exact same numbers as the previous draw (since otherwise it would be P2
 


erotavlas said:
Thanks
So then why is it each draw is considered independent of each other, if say the next draw probability P is independent on not having the exact same numbers as the previous draw (since otherwise it would be P2

Please clarify your question.
 


I guess I'm referring to dependent vs dependent events. If it is claimed that lottery draws are dependent of each other (i.e. one draw has no influence on the outcome of the next draw) However doesn't this contradict with the change in probability for two consecutive draws where the event is identical?

Say I play the same lottery numbers every week. The probability that they draw my numbers is P. I continue to play my numbers the following week but the probability that they draw my numbers on the next draw doesn't remain P, doesn't it change to P2 as was stated in the previous response? If so wouldn't that mean there is some dependence on the previous draw (because the probability changed)?
 


erotavlas said:
...doesn't it change to P2 as was stated in the previous response?

I don't see where he said that anywhere. He said that the probability of a specific sequence being repeated on the next two trials is P2, which is true.
 


The odds of drawing number x is p. The odds of drawing it twice is P squared but only if this is specified in advance.

If you draw x then the probability of drawing x the second time is p.
 


Number Nine said:
I don't see where he said that anywhere. He said that the probability of a specific sequence being repeated on the next two trials is P2, which is true.

Is this correct?

1st attempt => draw numbers N = probability P
2nd attempt => draw same numbers N = probability P
3rd attempt => draw same numbers N = probabiloty P2
4th attempt => draw same numbers N = probability ?

Antiphon said:
The odds of drawing number x is p. The odds of drawing it twice is P squared but only if this is specified in advance..

What does this mean, specified in advance?
 


Is this correct?

1st attempt => draw numbers N = probability P
2nd attempt => draw same numbers N = probability P
3rd attempt => draw same numbers N = probabiloty P2
4th attempt => draw same numbers N = probability ?

No. The probability is P at every step.
 
  • #10


Number Nine said:
No. The probability is P at every step.

So then what was P2?
I'm really confused now.
 
  • #11


anytime you draw, the probability of getting x is P, but the probability of getting x twice is P2 This -requires- looking at two draws, not just one. P is for one draw, anyone draw, but not TWO draws. methinks. Perhaps it is three...I would have thought two. Clarification there? But certainly more than one! And that is what changes the probability, the number of draws you are looking at
 
  • #12


Let's use coins. The probability of flipping tails is 0.5 every time regardless of the history of the prior flips.

But if you specify in advance that you wish to flip 10 tails in a row, the probability of that entire sequence of flips is 1/2^10, about 1024:1.

Once you have reached the ninth toss and it has come up tails, then the probability of flipping the tenth tail is 0.5 even though your odds of getting to the ninth flip were 512:1.
 

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