Problem Statement
Here is an interesting factoid: "On the planet Earth, if there are at least 23 people in a room, the chance that two of them have the same birthday is greater than 50%." You would like to come up with more factoids of this form. Given two integers (minOdds and daysInYear), your method should return the fewest number of people (from a planet where there are daysInYear days in each year) needed such that you can be at least minOdds% sure that two of the people have the same birthday. See example 0 for further information.
Definition
- Class:
- BirthdayOdds
- Method:
- minPeople
- Parameters:
- int, int
- Returns:
- int
- Method signature:
- int minPeople(int minOdds, int daysInYear)
- (be sure your method is public)
Notes
- Two people can have the same birthday without being born in the same year.
- You may assume that the odds of being born on a particular day are (1 / daysInYear).
- You may assume that there are no leap years.
Constraints
- minOdds will be between 1 and 99, inclusive.
- daysInYear will be between 1 and 10000, inclusive.
- For any number of people N, the odds that two people will have the same birthday (in a room with N people, on a planet with daysInYear days in each year) will not be within 1e-9 of minOdds. (In other words, you don't need to worry about floating-point precision for this problem.)
Examples
75
5
Returns: 4
We must be 75% sure that at least two of the people in the room have the same birthday. This is equivalent to saying that the odds of everyone having different birthdays is 25% or less. If there is only one person in the room, the odds are 5/5 or 100% that nobody shares a birthday. If there are two people in the room, the odds are 5/5 * 4/5 = 80% that nobody shares a birthday. This is because the second person has 4 "safe" days on which his birthday could fall, out of 5 possible days in the year. If there are three people in the room, the odds of no overlap are 5/5 * 4/5 * 3/5 = 48%. If there are four people in the room, the odds are 5/5 * 4/5 * 3/5 * 2/5 = 19.2%. This means that you can be (100% - 19.2%) = 80.8% sure that two or more of them do, in fact, have the same birthday. We only need to be 75% sure of this, which was untrue for three people but true for four. Therefore, your method should return 4.
50
365
Returns: 23
The factoid from the problem statement. If there are 22 people in a room, the odds of a shared birthday are roughly 47.57%. With 23 people, these odds jump to 50.73%, which is greater than or equal to the 50% needed.
1
365
Returns: 4
Another example from planet Earth. The odds of a repeat birthday among only four people are roughly 1.64%.
84
9227
Returns: 184
99
3349
Returns: 175
14
3100
Returns: 32
40
4093
Returns: 65
84
9557
Returns: 188
24
5986
Returns: 58
25
8819
Returns: 72
62
6528
Returns: 113
28
4955
Returns: 58
75
5346
Returns: 122
76
1084
Returns: 56
68
5435
Returns: 112
13
1184
Returns: 19
98
6729
Returns: 229
83
1699
Returns: 78
23
8446
Returns: 67
99
1
Returns: 2
1
1
Returns: 2
99
2
Returns: 3
50
1
Returns: 2
75
2
Returns: 3
75
5
Returns: 4
99
6
Returns: 7
99
5
Returns: 6
5
1
Returns: 2
95
2
Returns: 3