If we repeatedly toss a balanced coin, then, in the long run, it will come up heads about half the time. But what is the probability that such a coin will come up heads exactly half the time in 26 tosses?
If we repeatedly toss a balanced coin, then, in the long run, it will come up...
question B needs more explaination Challenge Problem: Suppose that we toss a biased coin repeatedly with p being the probability of heads and q = 1 - p being the probability of tails. In this exercise we will compute the probability that there is a run of m heads in a row before there is a run of s tails in a row and express the probability in terms of p, q, m and n. (a) (1pt) Verify the following...
35. You and I play the following game: I toss a coin repeatedly. The coin is unfair and P(H) = p. The game ends the first time that two consecutive heads (HH) or two consec- utive tails (TT) are observed. I win if (HH) is observed and you win if (TT) is observed. Given that I won the game, find the probability that the first coin toss resulted in heads?
You toss a coin 1000 times The probability that a coin comes up heads 12 times in 12 tosses is
You toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, i.e., the probability of heads is 1/2 and the probability of tails is y. This means every occurrence of a head must be balanced by a tail in one of the next two or three tosses. if I flip the coin many, many times, the proportion of heads will be approximately %, and this proportion will tend to get closer and...
Q3. Suppose we toss a coin until we see a heads, and let X be the number of tosses. Recall that this is what we called the geometric distribution. Assume that it is a fair coin (equal probability of heads and tails). What is the p.m.f. of X? (I.e., for an integer i, what is P(X=i)? What is ?[X]? ({} this is a discrete variable that takes infinitely many values.)
Suppose we toss a weighted coin, for which the probability of getting a head (H) is 60% i) If we toss this coin 3 times, then the probability of getting exactly two heads (to two decimal places) is Number ii) If we toss this coin 6 times, then the probability of getting exactly four heads (to two decimal places) is Number CI iii) if we toss this coin 8 times, then the probability of getting 6 or more heads (to...
Suppose that the probability of getting a head on the ith toss of an ever-changing coin is f(i). How would you efficiently compute the probability of getting exactly k heads in n tosses?
Suppose that I toss a fair coin 100 times. Write 'p-hat' for the proportion of Heads in the 100 tosses. What is the approximate probability that p-hat is greater than 0.6? 0.460 0.023 0.540 We can't do the problem because we don't know the probability that the coin lands Heads uppermost 0.977
# JAVA Problem Toss Simulator Create a coin toss simulation program. The simulation program should toss coin randomly and track the count of heads or tails. You need to write a program that can perform following operations: a. Toss a coin randomly. b. Track the count of heads or tails. c. Display the results. Design and Test Let's decide what classes, methods and variables will be required in this task and their significance: Write a class called Coin. The Coin...
Suppose we toss a coin (with P(H) p and P(T) 1-p-q) infinitely many times. Let Yi be the waiting time for the first head so (i-n)- (the first head occurs on the n-th toss) and Xn be the number of heads after n-tosses so (X·= k)-(there are k heads after n tosses of the coin). (a) Compute the P(Y> n) (b) Prove using the formula P(AnB) P(B) (c) What is the physical meaning of the formula you just proved? Suppose...