Your mind will explode #4

A basketball player has a constant probability of 0.4 0.4 of making any given shot, independent of previous shots. Let a n a_n be the ratio of shots made to shots attempted after n n shots. The probability that a 10 = 0.4 a_{10} = 0.4 and a n 0.4 a_n \leq 0.4 for all n n such that 1 n 9 1\le n\le9 is given to be p a q b r s c \dfrac{p^aq^br}{s^c} where p p , q q , r r , and s s are primes, and a a , b b , and c c are positive integers.

Submit the value of ( p + q + r + s ) ( a + b + c ) \left(p+q+r+s\right)\left(a+b+c\right) as your answer.


The answer is 660.

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1 solution

Nicola Mignoni
Apr 6, 2019

Let X n X_n be the number of shots made in n n consecutive attempts. We know that a n = X n n \displaystyle a_n=\frac{X_n}{n} . Since a 10 = 0.4 = 2 5 \displaystyle a_{10}=0.4=\frac{2}{5} we have that

a 10 = 2 5 = X 10 10 X 10 = 4 \displaystyle a_{10}=\frac{2}{5}=\frac{X_{10}}{10} \ \Longrightarrow \ X_{10}=4

Let t = ( t 1 , . . . , t 10 ) \textbf{t}=(t_1,...,t_{10}) the trials vector such that

t i = { 1 , if he/she makes a shot 0 , otherwise , i [ 0 , 10 ] t_i=\begin{cases}1, & \text{if he/she makes a shot} \\ 0, & \text{otherwise} \end{cases}, \ i \in[0,10]

resulting in X n = i = 1 n t i \displaystyle X_n=\sum_{i=1}^n t_i . We also know that a n 0.4 a_n \leq 0.4 for n [ 1 , 9 ] n \in [1,9] , so

a n = X n n 2 5 X n 2 n 5 \displaystyle a_n=\frac{X_n}{n} \leq \frac{2}{5} \ \Longrightarrow \ X_{n}\leq \Big\lfloor\frac{2n}{5}\Big\rfloor

and

X 1 = 0 , X 2 = 0 , X 3 1 , X 4 1 , X 5 2 , X 6 2 , X 7 2 , X 8 3 , X 9 3 X_1=0, \ X_2=0, \\ X_3 \leq 1, \ X_4 \leq 1, \\ X_5 \leq 2, \ X_6 \leq 2, \ X_7 \leq 2, \\ X_8 \leq 3, \ X_9 \leq 3

and eventually X 10 = 4 X_{10}=4 , as we previously said. Let's rewrite t = ( 0 0 t 3 , t 4 t 5 , t 6 , t 7 t 8 , t 9 1 ) \textbf{t}=(0 \ 0 \ | \ t_3, \ t_4 \ | \ t_5, \ t_6, \ t_7 \ | \ t_8, \ t_9 \ | \ 1) and put the remaning three 1 s 1s in t \textbf{t} , following the boundaries previously written. I'll use the notation |\cdot|\cdot|\cdot| to indicate the number ( # ) (\#) of 1 s 1s will appear between the bars, i.e. the number of 1 s 1s assigned to the t i t_i between the bars (the rest will be 0 s 0s ), and for each of them we'll count the number of possible combination. Hence

# ( 1 1 1 ) = 2 3 2 = 12 # ( 1 0 2 ) = 2 # ( 0 2 1 ) = 2 3 = 6 # ( 0 1 2 ) = 3 \#( | 1 | 1 | 1 | )=2 \cdot 3 \cdot 2=12 \\ \#( | 1 | 0 | 2 | )=2 \\ \#( | 0 | 2 | 1 | )=2 \cdot 3=6 \\ \#( | 0 | 1 | 2 | )=3

Summing up 2 + 12 + 6 + 3 = 23 2+12+6+3=23 , so that the final probability is

P ( a 10 = 0.4 a n 0.4 , 1 n 9 ) = 23 ( 2 5 ) 4 ( 1 2 5 ) 6 = 268272 9765625 = 2 4 3 6 23 5 10 \displaystyle \mathbb{P}(a_{10}=0.4 \wedge a_n \leq 0.4, \ 1 \leq n \leq 9)=23\Big(\frac{2}{5}\Big)^4 \Big(1-\frac{2}{5}\Big)^6=\frac{268272}{9765625}=\frac{2^4 \cdot 3^6 \cdot 23}{5^{10}}

Eventually

( p + q + r + s ) ( a + b + c ) = ( 2 + 3 + 23 + 5 ) ( 4 + 6 + 10 ) = 660 (p+q+r+s)(a+b+c)=(2+3+23+5)(4+6+10)=\boxed{660}

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