Question

The first baseman in a baseball game is thrown two balls during an inning. Define A...

The first baseman in a baseball game is thrown two balls during an inning. Define A = {catches both balls}, B = {catches at least one ball}, C = {misses both balls}. Which of the following is false?
1. A and C are disjoint.
2. B and C are disjoint.
3. A and B are independent.
4. P(A) + P(B) + P(C) ≠ 1.

You flip a coin x number of times and calculate the probability of heads as (number of heads)/x. What happens to this probability as x gets larger?
1. It gets smaller
2. It gets larger
3. It stays the same (0.5)
4. It gets closer and closer to 0.50

Homework Answers

Answer #1

a) The false statement is:

3. A and B are independent.

If A and B are independent, P(B | A) = P(B)

Here, P(B | A) = 1 because given both balls are caught, its certain that at least 1 ball is caught. But, P(B) need not be 1. Therefore P(B | A) P(B) and the events are dependent.

b) As x gets larger,

4. It gets closer and closer to 0.50

According to law of large numbers, the sample proportion gets closer to the populatio proportion as the number of samples increases. We know that for a fair coin, the population proportion must be 0.5. Therefore, as x gets larger, P(heads) gets closer to 0.5.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Probability when tossing coins: Two coins are thrown into the air (for example, a 10 and...
Probability when tossing coins: Two coins are thrown into the air (for example, a 10 and a 25 cent coin). Please provide the following data. A. The sample space B. The probability of falling heads on the 10 coin. C. The probability of falling heads on the 25 coin. D. The probability of falling heads in both currencies. E. The probability that both coins will fall on the same side.
You flip a coin until getting heads. Let X be the number of coin flips. a....
You flip a coin until getting heads. Let X be the number of coin flips. a. What is the probability that you flip the coin at least 8 times? b. What is the probability that you flip the coin at least 8 times given that the first, third, and fifth flips were all tails? c. You flip three coins. Let X be the total number of heads. You then roll X standard dice. Let Y be the sum of those...
A game consists of first rolling an ordinary six-sided die once and then tossing an unbiased...
A game consists of first rolling an ordinary six-sided die once and then tossing an unbiased coin once. The score, which consists of adding the number of dots showing on the die, and the number of heads showing on the coin (0 or 1), is a random variable, say X. a) List the possible values of X, and write its PMF in the form of a table. b) Draw a graph of the PMF. c) What is the CDF of...
1) An irregular coin (? (?) = ?? (?)) is thrown 3 times. ? discrete random...
1) An irregular coin (? (?) = ?? (?)) is thrown 3 times. ? discrete random variable; ? = "number of heads - number of tails" is defined. Accordingly, ? is the discrete random variable number of heads - number of posts a) Find the probability distribution table. b) Cumulative (Additive) probability distribution table; ? (?) c) Find ? (?≥1).
Deriving fair coin flips from biased coins: From coins with uneven heads/tails probabilities construct an experiment...
Deriving fair coin flips from biased coins: From coins with uneven heads/tails probabilities construct an experiment for which there are two disjoint events, with equal probabilities, that we call "heads" and "tails". a. given c1 and c2, where c1 lands heads up with probability 2/3 and c2 lands heads up with probability 1/4, construct a "fair coin flip" experiment. b. given one coin with unknown probability p of landing heads up, where 0 < p < 1, construct a "fair...
coin 1 has probability 0.7 of coming up heads, and coin 2 has probability of 0.6...
coin 1 has probability 0.7 of coming up heads, and coin 2 has probability of 0.6 of coming up heads. we flip a coin each day. if the coin flipped today comes up head, then we select coin 1 to flip tomorrow, and if it comes up tail, then we select coin 2 to flip tomorrow. find the following: a) the transition probability matrix P b) in a long run, what percentage of the results are heads? c) if the...
suppose you flip a biased coin ( P(H) = 0.4) three times. Let X denote the...
suppose you flip a biased coin ( P(H) = 0.4) three times. Let X denote the number of heads on the first two flips, and let Y denote the number of heads on the last two flips. (a) Give the joint probability mass function for X and Y (b) Are X and Y independent? Provide evidence. (c)what is Px|y(0|1)? (d) Find Px+y(1).
There is a game with two players. Both players place $1 in the pot to play....
There is a game with two players. Both players place $1 in the pot to play. There are seven rounds and each round a fair coin is flipped. If the coin is heads, Player 1 wins the round. Otherwise, if it is tails, Player 2 wins the round. Whichever player wins four rounds first gets the $2 in the pot. After four rounds, Player 1 has won 3 rounds and Player 2 has won 1 round, but they cannot finish...
A baseball player, Mickey, who bats 310 (or .310) gets an average of 3.1 hits in...
A baseball player, Mickey, who bats 310 (or .310) gets an average of 3.1 hits in ten at bats. We will assume that each time Mickey bats he has a 0.31 probability of getting a hit. This means Mickeys at bats are independent from one another. If we also assume Mickey bats 5 times during a game and that x= the number of hits that Mickey gets then the following probability mass function, p(x), and cumulative distribution function F(x) are...
1) Choose a lottery that has published odds. Make sure to post the odds in both...
1) Choose a lottery that has published odds. Make sure to post the odds in both "1 in X" format and in "p = 0.XXX" decimal format. For example, Flip a Coin has a 1 in 2 chance of being heads, p(heads) = 0.50 2) Explain why P(A and B) = 0, where P(A) = lottery number #1 is a winning jackpot ticket and P(B) = lottery number #2 is a winning jackpot ticket.   3) If there was a really...