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A basketball player succeeds in making a basket 3 tries out of 4. How many tries arenecessary in order to have probability >0.99of at least one basket?

Short Answer

Expert verified

Answer

The number of times the throw must be made to have the probability greater than 0.99is 4.

Step by step solution

01

Given Information

The probability of successful throw is34.

02

Definition of Independent Event

The events are said to be independent when the occurrence or non-occurrence of any event does not have any effect on the occurrence or non-occurrence of the other event.

When events are independent, apply the formula P(AB)=P(B)·P(B)where andare the events.

03

Finding the number of times must we throw a die to have probability greater than half of getting an ace

The probability of missing the throw is14. Similarly, the probability of missing n-throws is 14n.

This implies that the probability of at least successful throw is 1-14n.

To have the probability more than0.99, 1-14n>0.99.

Solve the obtained inequality to obtain the value of n.

1-14n>0.990.01>14nIn0.01>nln14n<In0.01In0.25<3.321

The obtained value is not a whole number; thus we can assume that the required number of throws will be 4.

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Most popular questions from this chapter

Set up an appropriate sample space for each of Problems 1.1 to 1.10 and use itto solve the problem. Use either a uniform or non-uniform sample space or try both.

An integer is chosen at random with 1N100. What is the probability that is divisible by 11? ThatN>90 ? That N3? That is a perfect square?

(a) There are 3 red and 5 black balls in one box and 6 red and 4 white balls in another. If you pick a box at random, and then pick a ball from it at random, what is the probability that it is red? Black? White? That it is either red or white?

(b) Suppose the first ball selected is red and is not replaced before a second ball

is drawn. What is the probability that the second ball is red also?

(c) If both balls are red, what is the probability that they both came from the same box?

(a) Note that (3.4) assumes P(A) is not equal to 0 since PA(B)is meaningless if P(A) = 0.

Assuming both P(A) is not equal to 0 and P(B) is not equal to 0, show that if (3.4) is true, then

P(A)=PA(B)that is if B is independent of A, then A is independent of B.

If either P(A) or P(B) is zero, then we use (3.5) to define independence.

(b) When is an event E independent of itself? When is E independent of“not E”?

A trick deck of cards is printed with the hearts and diamonds black, and the spades and clubs red. A card is chosen at random from this deck (after it is shuffled). Find the probability that it is either a red card or the queen of hearts. That it is either a red face card or a club. That it is either a red ace or a diamond.

A card is selected from a shuffled deck. What is the probability that it is either a king or a club? That it is both a king and a club?

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