All of the following are examples of a continuous probability distribution except: basketball free throws weight...
All of the following are examples of a continuous probability distribution except:
|
basketball free throws |
|
weight |
|
height |
|
inches of rain in a hurricane |
Homework Answers
All of the following are examples of a continuous probability distribution except: the Basketball free throw .
As no. Of throw can be only in discrete variable that is 0,1,2,3,.... . Any throw can not be in decimal or fraction form . Where as height , wt and inch or rain hurricane can take any value for a given range . And they are CONTINUOUS VARIABLE .
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All of the following are examples of a continuous probability
distribution except:
basketball free throws
weight...
Joe is attempting basketball free throws. The probability of success on each attempt is 0.39 and...
Joe is attempting basketball free throws. The probability of success on each attempt is 0.39 and his consecutive attempts are independent of each other. Answer the following questions. If Joe attempts three free throws, what is the probability he has at least one success? (a) Let X be the number of attempts required for Joe to observe his first successful free throw. What kind of discrete random distribution for X? (Binomial, Poisson, or none of them) (b) If Joe attempts...
380 free throws u In basketball, the top free throw shooters usually have a probability of...
380 free throws u In basketball, the top free throw shooters usually have a probability of about 0.90 of making any given free throw. Over the course of a season, one such player shoots a. Find the mean and standard deviation of the probability distribution of the number of free throws he makes b. By the normal distribution approximation, within what range would the number of free throws made almost certainly fall? Why? c. Within what range would the proportion...
4. A basketball player practices making 100 free throws every day. The probability that she makes...
4. A basketball player practices making 100 free throws every day. The probability that she makes each free throw is p=0.6. You may assume that each free throw's outcome is independent of every other free throw's outcome. a) What is the probability that she makes all 100 free throws? b) What is the probability that she makes half of the 100 free throws? b) What is the expected number of free throws that she misses? c) What is the variance...
Basketball player Kemba Walker makes free throws 81% of the time. Find the probability that he...
Basketball player Kemba Walker makes free throws 81% of the time. Find the probability that he missed his first shot but makes his next 2 free throws?
There are eight players on a basketball team. They are practicing their free throws by having...
There are eight players on a basketball team. They are practicing their free throws by having each player shoot two free throws. The table below shows the results of each player's free throw attempts, where N represents a missed free throw and Y represents a made free throw. Construct the probability distribution of X for the number of free throws made by th players. Arrange a in increasing order and write the probabilities P(z) as simplified fractions. Player Player rPlayer...
Suppose a basketball player is an excellent free throw shooter and makes 91% of his free throws (i
Suppose a basketball player is an excellent free throw shooter and makes 91% of his free throws (i.e., he has a 91% chance of making a single free throw). Assume that free throw shots are independent of one another. Suppose this player shoots five free throws. Find the probability that he makes all five throws.
12. (10 points) A college basketball player makes 90% of his free throws. Assuming free-throw attempts...
12. (10 points) A college basketball player makes 90% of his free throws. Assuming free-throw attempts are independent. Over the course of the season, he will attempt 100 free throws. a) Use binomial distribution to find the exact probability that the number of free throws he makes is between 85 and 95, inclusive b) Check the conditions for using the normal appreciation to the binomial distribution. c) Use normal approximation to estimate the probability that the number of free throws...
12. (10 points) A college basketball player makes 90% of his free throws. Assuming free-throw attempts...
12. (10 points) A college basketball player makes 90% of his free throws. Assuming free-throw attempts are independent. Over the course of the season, he will attempt 100 free throws. a) Use binomial distribution to find the exact probability that the number of free throws he makes is between 85 and 95, inclusive. b) Check the conditions for using the normal appreciation to the binomial distribution c) Use normal approximation to estimate the probability that the number of free throws...
Suppose a basketball player makes 80% of her free throws. Let X be the number of...
Suppose a basketball player makes 80% of her free throws. Let X be the number of free throws that she makes in the next n = 10 attempts. Note that X has a binomial distribution with n = 10 and p = 0.8. Find the probability that she makes 6 of her 10 attempts, denoted by P(X = 6).
Suppose a basketball player is an excellent free throw shooter and makes 91% of his free throws (i
Suppose a basketball player is an excellent free throw shooter and makes 91% of his free throws (i.e., he has a 91% chance of making a single free throw). Assume that free throw shots are independent of one another. Suppose this player shoots five free throws. Find the probability that he makes all five throws. A).0 B).0.376 C).0.624 D).1
380 free throws u In basketball, the top free throw shooters usually have a probability of about 0.90 of making any given free throw. Over the course of a season, one such player shoots a. Find the mean and standard deviation of the probability distribution of the number of free throws he makes b. By the normal distribution approximation, within what range would the number of free throws made almost certainly fall? Why? c. Within what range would the proportion...
4. A basketball player practices making 100 free throws every day. The probability that she makes each free throw is p=0.6. You may assume that each free throw's outcome is independent of every other free throw's outcome. a) What is the probability that she makes all 100 free throws? b) What is the probability that she makes half of the 100 free throws? b) What is the expected number of free throws that she misses? c) What is the variance...
There are eight players on a basketball team. They are practicing their free throws by having each player shoot two free throws. The table below shows the results of each player's free throw attempts, where N represents a missed free throw and Y represents a made free throw. Construct the probability distribution of X for the number of free throws made by th players. Arrange a in increasing order and write the probabilities P(z) as simplified fractions. Player Player rPlayer...
12. (10 points) A college basketball player makes 90% of his free throws. Assuming free-throw attempts are independent. Over the course of the season, he will attempt 100 free throws. a) Use binomial distribution to find the exact probability that the number of free throws he makes is between 85 and 95, inclusive b) Check the conditions for using the normal appreciation to the binomial distribution. c) Use normal approximation to estimate the probability that the number of free throws...
12. (10 points) A college basketball player makes 90% of his free throws. Assuming free-throw attempts are independent. Over the course of the season, he will attempt 100 free throws. a) Use binomial distribution to find the exact probability that the number of free throws he makes is between 85 and 95, inclusive. b) Check the conditions for using the normal appreciation to the binomial distribution c) Use normal approximation to estimate the probability that the number of free throws...
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