Probability & Statistics

Basketball Scores

She makes throw one, misses throw two, then scores with probability equal to her running make fraction. This Polya urn makes every tally from 1 to 99 equally likely after 100 throws, so exactly 50 makes has probability 1/99.

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A basketball player takes 100 free throws. She makes the first and misses the second. From the third throw on, the chance she makes a throw equals the fraction of her throws so far that she has made. What is the probability she ends with exactly 50 makes?

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#The rule is a Polya urn

After two throws she sits at one make and one miss. Put one red ball (a make) and one blue ball (a miss) in an urn. Drawing a ball, noting its colour, and returning it with one more of the same colour reproduces the rule exactly. After kk throws the urn holds kk balls, MkM_k of them red, and the next throw is a make with probability Mk/kM_k / k, the fraction made so far. This is the standard Polya urn.

#Uniform by induction

The claim is that for every n2n \ge 2, the number of makes MnM_n is uniform on {1,2,,n1}\{1, 2, \dots, n-1\}.

The base case is n=2n = 2, where M2=1M_2 = 1 with certainty and {1,,n1}={1}\{1,\dots,n-1\} = \{1\}. For the step, assume MnM_n is uniform on {1,,n1}\{1,\dots,n-1\}, so each value has probability 1n1\tfrac{1}{n-1}. The next throw lifts the count by one with probability Mn/nM_n/n and leaves it with probability 1Mn/n1 - M_n/n, so for any jj,

P(Mn+1=j)=P(Mn=j)(1jn)+P(Mn=j1)j1n.(1)\PP(M_{n+1} = j) = \PP(M_n = j)\Big(1 - \tfrac{j}{n}\Big) + \PP(M_n = j-1)\,\tfrac{j-1}{n}. \tag{1}

For an interior j{2,,n1}j \in \{2,\dots,n-1\} both terms appear and collapse,

1n1[(1jn)+j1n]=1n1n1n=1n.(2)\frac{1}{n-1}\left[\Big(1 - \tfrac{j}{n}\Big) + \tfrac{j-1}{n}\right] = \frac{1}{n-1}\cdot\frac{n-1}{n} = \frac{1}{n}. \tag{2}

At the ends j=1j = 1 and j=nj = n only one term survives, and each still gives 1n\tfrac{1}{n}. So Mn+1M_{n+1} is uniform on {1,,n}\{1,\dots,n\}, closing the induction.

#Uniform over all tallies

At n=100n = 100 the makes are uniform on {1,,99}\{1,\dots,99\}, the forced first make and second miss ruling out 00 and 100100. Every tally is equally likely, so

P(M100=50)=199.(3)\PP(M_{100} = 50) = \frac{1}{99}. \tag{3}
1/99 each15099makes after 100 throws
The Polya urn flattens the distribution completely. Every final tally from 1 to 99 is equally likely, so landing on exactly 50 makes carries probability 1/99.

The surprise is that 50 is no more likely than 1 or 99. The reinforcement keeps whatever lead it stumbles into early, smearing the final count flat across its whole range.