You flip a coin repeatedly until two consecutive heads show up. You don’t know what the probability p
of the coin showing heads is, but you assume p is Beta distributed, with parameters Beta(6,8). Find
the expected number of flips until two consecutive heads show up.
You flip a coin repeatedly until two consecutive heads show up. You don’t know what the...
Suppose you flip a fair coin repeatedly until you see a Heads followed by another Heads or a Tails followed by another Tails (i.e. until you see the pattern HH or TT). (a)What is the expected number of flips you need to make? (b)Suppose you repeat the above with a weighted coin that has probability of landing Heads equal to p.Show that the expected number of flips you need is 2+p(1−p)/1−p(1−p)
You have a biased coin where heads come up with probability 2/3
and tails come up with probability 1/3.
2. Assume that you flip the coin until you get three heads or one tail. (a) Draw the possibility tree. (b) What is the average number of flips? Use the possibility tree, and show your calculation.
2. Assume that you flip the coin until you get three heads or one tail. (a) Draw the possibility tree. (b) What is the average...
Problem 3.
3. For a nonnegative integer-valued random variable X show that i-0 4. A coin comes up heads with probability p. It is flipped until two consecutive heads or two consecutive tails occur. Find the expected number of flips 5. Suppose that PX a)p, P[Xb-p, a b. Show that (X-b)/(a-b) is a Bernoulli variable, and find its variance
3. For a nonnegative integer-valued random variable X show that i-0 4. A coin comes up heads with probability p. It...
You flip a coin 100 times. Let X= the number of heads in 100 flips. Assume we don’t know the probability, p, the coin lands on heads (we don’t know its a fair coin). So, let Y be distributed uniformly on the interval [0,1]. Assume the value of Y = the probability that the coin lands on heads. So, we are given Y is uniformly distributed on [0,1] and X given Y=p is binomially distributed on (100,p). Find E(X) and...
You have a biased coin, where the probability of flipping a heads is 70%. You flip once, and the coin comes up tails. What is the expected number of flips from that point (so counting that as flip #0) until the number of heads flipped in total equals the number of tails?
4. A fair two-sided coin is tossed repeatedly. (a) Find the expected number of tails until the first head is flipped. (b) Find the probability that there are exactly 5 heads in the first 10 flips. (c) Use the central limit theorem/normal approximation to approximate the probability that in the first 100 flips, between 45 and 55 of the flips are heads.
6. A fair coin is flipped repeatedly until 50 heads are observed. What is the probability that at least 80 flips are necessary? (You may calculate an approximate answer.)
A coin that comes up heads with probability p is flipped n consecutive times. What is the probability that starting with the first flip there are always more heads than tails that have appeared?
Q3. (5 points) A coin having probability p of landing heads is continually flipped until at least one head and one tail have been flipped. Find the expected number of flips needed Find the expected number of flips that land on heads.
An experiment is performed with a coin which has a head on one side and a tail on the other side. The coin is flipped repeatedly until either exactly two heads have appeared or until the coin has been flipped a total of six times, whichever occurs first. Let X denote the number of times the coin is flipped. The probability that the coin comes up heads on any given flip is denoted as p. For parts (a) to (e),...