How Many Arrows Hit the Target Per Second?

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The discussion centers on calculating the expected number of arrows hitting a target per second after a warmup period. Each archer shoots one arrow every three seconds, with all 100 archers starting at random times within the first three seconds. The expected number of hits is determined to be 33.333 arrows per second, based on a Poisson process. There is some confusion regarding the warmup time, with suggestions that it could be one or two seconds instead of three, but the consensus remains around the average rate of 33.333. The distribution of hits is assumed to be uniform and independent, leading to a binomial distribution for further calculations.
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Every archer hits the target every time and they shoot at it for ten seconds with the speed of 1 arrow per 3 seconds exactly, but they all start shooting at different random times within the first three seconds, so their arrows hit the target at different times. What is likely number of arrows to hit the target in any given one second time interval after the first three seconds warmup? Thanks.
 
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This is a Poisson process with an average rate of 100/3 = 33.333 arrow hits per second. So the expected number of arrow hits in a second is 33.333.
 
FactChecker said:
This is a Poisson process with an average rate of 100/3 = 33.333 arrow hits per second. So the expected number of arrow hits in a second is 33.333.

Is it not a uniform distribution of 100 arrows over 3 seconds?

And by the way, StrangeCoin seems to be asking homework questions in the math section...
 
FactChecker said:
This is a Poisson process with an average rate of 100/3 = 33.333 arrow hits per second. So the expected number of arrow hits in a second is 33.333.

I see. I made a mistake. "Warmup time" when each archer starts shooting at random point in time, is supposed to be within first one second or two seconds, not three. Say two seconds, so maybe it's 2 out of 3 = 67 arrows per second would hit the target. Doesn't sound right. It must be 33% in any case, doesn't it?
 
StrangeCoin said:
Every archer hits the target every time and they shoot at it for ten seconds with the speed of 1 arrow per 3 seconds exactly, but they all start shooting at different random times within the first three seconds, so their arrows hit the target at different times. What is likely number of arrows to hit the target in any given one second time interval after the first three seconds warmup? Thanks.

33.3.

"they all start shooting at different random times " We don't know the distribution but in probability problems if they don't say then it is always uniform and independent. So we get a binomial distribution with n = 100 and p = 1/3. The number of hits during the seven one-second intervals are not independent. H(n) =H(n+3) and H(n)+H(n+1)+H(n+2)=100 so there are only two degrees of freedom. H(2) is a binomial with n=100-H(1) and p = n/2
 
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The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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