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2. In your pocket is a random number N of coins, where N has the Poisson...
4. You toss n coins, each showing heads with probability p, independently of the other tosses....
4. You toss n coins, each showing heads with probability p, independently of the other tosses. Each coin that shows tails is tossed again. Let X be the total number of tails (a) What type of distribution does X have? Specify its parameter(s). (b) What is the probability mass function of the total number of tails X?
You have in your pocket two coins, one bent (comes up heads with probability 3/4) and...
You have in your pocket two coins, one bent (comes up heads with probability 3/4) and one fair (comes up heads with probability 1/2). Not knowing which is which, you choose one at random and toss it. If it comes up heads you guess that it is the biased coin (reasoning that this is the more likely explanation of the observation), and otherwise you guess it is the fair coin. A) What is the probability that your guess is wrong?
You have five coins in your pocket. You know a priori that one coin gives heads with probability 0.4, and the other four coins give heads with probability 0.7 You pull out one of the five coins at ra...
You have five coins in your pocket. You know a priori that one coin gives heads with probability 0.4, and the other four coins give heads with probability 0.7 You pull out one of the five coins at random from your pocket (each coin has probability 릊 of being pulled out), and you want to find out which of the two types of coin it is. To that end, you flip the coin 6 times and record the results X1...
Consider the random sum S= Xj, where the X, are IID Bernoulli random variables with parameter p and N is a Poisson rand...
Consider the random sum S= Xj, where the X, are IID Bernoulli random variables with parameter p and N is a Poisson random variable with parameter 1. N is independent of the X; values. a. Calculate the MGF of S. b. Show S is Poisson with parameter Ap. Here is one interpretation of this result: If the number of people with a certain disease is Poisson with parameter 1 and each person tests positive for the disease with probability p,...
A box contains five coins. For each coin there is a different probability that a head...
A box contains five coins. For each coin there is a different probability that a head will be obtained when the coin is tossed. (Some of the coins are not fair coins!) Let pi denote the probability of a head when the i th coin is tossed (i = 1, . . . , 5), and suppose that p1 = 0, p2 =1/4, p3 =1/2, p4 =3/4, p5 =1. The experiment we are interested in consists in selecting at random...
2. SUPPLEMENTAL QUESTION 1 (a) Toss a fair coin so that with probability pheads occurs and...
2. SUPPLEMENTAL QUESTION 1 (a) Toss a fair coin so that with probability pheads occurs and with probability p tails occurs. Let X be the number of heads and Y be the number of tails. Prove X and Y are dependent (b) Now, toss the same coin n times, where n is a random integer with Poisson distribution: n~Poisson(A) Let X be the random variable counting the number of heads, Y the random variable counting the number of tails. Prove...
1. You have three different coins where the probabilities of getting heads are 0.5, 0.7, and...
1. You have three different coins where the probabilities of getting heads are 0.5, 0.7, and 0.2 respectively You plan to flip each coin and count the total number of heads. You're curious what the probability of getting exactly two heads is. [1 point a. Explain why you cannot use the Binomial model for this situation. [3 points] b. Show that the probability of getting exactly two heads is 0.38. Define any events you want to use in words. c....
Suppose we toss a fair coin every second so the first toss is at time t1. Define a random variabl...
Suppose we toss a fair coin every second so the first toss is at time t1. Define a random variable Y (the "waiting time for the first head ") by Prove that Yi satisfies (Yİ is said to have geometric distribution with parameter p. (Yi-n) = (the first head occurs on the n-th toss). FOUR STEPS TO THE SOLUTION (1) Express the event Yǐ > n in terms of , where , is the number of heads after n tosses...
Suppose you again have seven coins in your pocket, 1 quarter, 4 dimes, and 2 pennies....
Suppose you again have seven coins in your pocket, 1 quarter, 4 dimes, and 2 pennies. Again, you randomly extract one coin from your pocket, look at the coin, and then return that coin to your pocket. You then randomly extract a second coin from your pocket and look at that coin. If the events are again P1 = "first pick was a penny" and D2 = "Second pick was a dime," what is the probability of picking these two...
6 X Yos have seven coins in youe pocket coins Ceech with probsbility of "heads0.5o Pour two-heaed cons (each with probslity of heade1.0 Suppose you randomily select a coin and g it Find...
6 X Yos have seven coins in youe pocket coins Ceech with probsbility of "heads0.5o Pour two-heaed cons (each with probslity of heade1.0 Suppose you randomily select a coin and g it Find the probablity of lipping "bead Now suppose that you do, in fact, Bip "heads" Givea hat information, find the probabibty that the coin you aipped was: b. A fair con? sA two-headed coin? d. Now suppose that when you flip it, the coin comes up "tails". Given...
4. You toss n coins, each showing heads with probability p, independently of the other tosses. Each coin that shows tails is tossed again. Let X be the total number of tails (a) What type of distribution does X have? Specify its parameter(s). (b) What is the probability mass function of the total number of tails X?
You have five coins in your pocket. You know a priori that one coin gives heads with probability 0.4, and the other four coins give heads with probability 0.7 You pull out one of the five coins at random from your pocket (each coin has probability 릊 of being pulled out), and you want to find out which of the two types of coin it is. To that end, you flip the coin 6 times and record the results X1...
Consider the random sum S= Xj, where the X, are IID Bernoulli random variables with parameter p and N is a Poisson random variable with parameter 1. N is independent of the X; values. a. Calculate the MGF of S. b. Show S is Poisson with parameter Ap. Here is one interpretation of this result: If the number of people with a certain disease is Poisson with parameter 1 and each person tests positive for the disease with probability p,...
2. SUPPLEMENTAL QUESTION 1 (a) Toss a fair coin so that with probability pheads occurs and with probability p tails occurs. Let X be the number of heads and Y be the number of tails. Prove X and Y are dependent (b) Now, toss the same coin n times, where n is a random integer with Poisson distribution: n~Poisson(A) Let X be the random variable counting the number of heads, Y the random variable counting the number of tails. Prove...
1. You have three different coins where the probabilities of getting heads are 0.5, 0.7, and 0.2 respectively You plan to flip each coin and count the total number of heads. You're curious what the probability of getting exactly two heads is. [1 point a. Explain why you cannot use the Binomial model for this situation. [3 points] b. Show that the probability of getting exactly two heads is 0.38. Define any events you want to use in words. c....
Suppose we toss a fair coin every second so the first toss is at time t1. Define a random variable Y (the "waiting time for the first head ") by Prove that Yi satisfies (Yİ is said to have geometric distribution with parameter p. (Yi-n) = (the first head occurs on the n-th toss). FOUR STEPS TO THE SOLUTION (1) Express the event Yǐ > n in terms of , where , is the number of heads after n tosses...
6 X Yos have seven coins in youe pocket coins Ceech with probsbility of "heads0.5o Pour two-heaed cons (each with probslity of heade1.0 Suppose you randomily select a coin and g it Find the probablity of lipping "bead Now suppose that you do, in fact, Bip "heads" Givea hat information, find the probabibty that the coin you aipped was: b. A fair con? sA two-headed coin? d. Now suppose that when you flip it, the coin comes up "tails". Given...
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