A soccer player boasts that he is able to kick a ball past 100 yards on 5 consecutive tries. You know that he's usually able to kick that distance 20% of the time. You create a model of how he kicks and run a simulation based on it, using (0 - 1) to represent his successes at kicking past 100 yards. 56421 88976 54893 20015 46504 98746 13210 77410 How many consecutive kicks past yards does the model show for the player? A. 3 B. 2 C. 0 D. 1
@Somy
@iambatman ❤
not so good in math sorry T_T
Thank you!
"based on it, using (0 - 1)" i don't get this part for example, digit 5 represents that he made what?
not sure
if we take each digit as yards ball was kicked divided by hundred yards, like this |dw:1405460372823:dw| then it is solvable :) not sure how far from true meaning this might be
0?
i dunno, maybe did backflip while attempting to hit the ball
if my far reaching theory is right you get that for each simulation he made this many kicks hitting 100 or more yards: 1st simulation = 5 kicks 2nd = 5 3rd = 5 4th = 3 5th = 4 6th = 5 7th = 4 8th =4 , therefore yu have that he was able to make it atleast 3 kicks through each simulation, making answer a but then again, i have little idea wheteher it's right or just far reaching
Thank you!
@jim_thompson5910
I suppose the 8 numbers given are random numbers with a maximum of 99999 and a minimum of zero. So dividing each number by 100000 will yield 8 random numbers in the interval [0,1). A simulation could be made assuming each value represents the percentile of the kick distance, i.e. [0,0.8) means he did not make the distance, [0.8,1) means he got 100 yards or more. HOWEVER, the design of the simulation changes the answer completely. For example, the kick distance could be in decreasing order, in which case the number of successes will be reversed. Also, it depends on the random numbers we used to do the simulation (5 out of 8 numbers), or the method of choosing the numbers.
@Hero
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