How many people are needed in a team to ensure one is at work?

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How does one estimate the probability that at least one person from a team is in the office during working hours (9 am - 5 pm)? My assumptions are:

  • There are 3 people in the team
  • There are 253 working days in the year
  • Each person has 38 working days out of the office (annual leave + meetings)
  • Days out of the office are randomly taken
  • When not out of the office the person is available (ignore sick leave etc.)

The question is a real life question that is needed to work out the amount of time that the office is not staffed. The extension to the question above is: How many people are needed to increase the probability to say 95%?

I have looked at the coupon-collector's problem, but I have little experience in calculating probabilities and so I am unsure how to apply it to this problem. What are the steps required?

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Hints:

  • Calculate the probability that a fixed person is working on a fixed day.
  • Calculate the probability that none of the $3$ persons are working on a fixed day.
  • Calculate the probability that at least one of the $3$ persons is working on a fixed day.
  • Do the same for $n$ instead of $3$ to get some view on how this depends on the size of the team.
  • Let $X_i=1$ if at least one person is working on day $i$ and $X_i=0$ otherwise. Then $X_1+\cdots+X_{253}$ equals the number of days that at least one is at work. Find its expectation and draw conclusions about the fraction you mention.