Independent statistics: Basketball?

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SUMMARY

The discussion centers on calculating the expected number of points from a basketball player's "one and one" free throw situation, where he has a 30% miss rate on free throws. The player has a 70% chance of making the first shot, which allows for a second shot. The expected value is calculated as E(x) = 1 * 0.21 + 2 * 0.49, resulting in an expected score of 1.19 points. The participant successfully deduced the probabilities and outcomes while engaging with the problem, demonstrating a clear understanding of expected value calculations in sports statistics.

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evildaemonlad
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Hi, I'm a bit stuck on this problem

A basketball player misses 30% of his free throws. He ends up in a situation where he has the potential to shoot two penalty shots if and only if he lands the first shot (called a one and one, I believe). The outcome of the 2nd shot is independent of the first.

> Find the expected number of points resulting from the "one and one"

Here I'm assuming expected number equates to expected value -> E(x) = S x P(x) (S = sigma)

I've set up a table thusly so that I might take the sum of the 3rd column (x denotes successful shots):
x____P(x)____xP(x)
0...?...0
1.....
2.....

The issue that I am having is how to express the dependence of even taking a second shot upon this first. My gut is telling me that the first entry under P(x) ought to be .3 but after that I'm lost. Any pointers would be appreciated!
 
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Then, 30% of the "one and one" , he misses the first shot, and gets 0 points (prob 30%).
And he lands 70% of the first shot.
Then, he misses the second throw, getting only 1 point (prob 0.7 * 0.3 = 21%).
But he lands 70% of the 2nd throw, getting 2 points (prob 0.7 * 0.7 = 49%).

So, the expected number of points is 1*0.21 + 2*.49 = 1.19 .
 
Thanks much, I actually managed to figure it out while taking a dinner break from problem sets - you beat me back it seems!
 

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