A coin is tossed twice. Let Z denote the number of heads on the first toss and let W denote the total number of heads on the two tosses. If the coin is unbalanced and a head has a 30% chance of occurring, find the joint probability distribution f(w, z)
If the coin is unbalanced and a head has a 30% chance of occurring, find the joint probability distribution f(w, z)
A coin with probability p of heads is tossed until the first head occurs. It is then tossed again until the first tail occurs. Let X be the total number of tosses required. (i) Find the distribution function of X. (ii) Find the mean and variance of X
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...
8. (5 points) An unbalanced coin, the probability of head occur is twice likely to occur than the tail, is to be tossed until a head appear for the first time. What are the chances of that happening on an even-numbered toss?
A fair coin is tossed 3 times. Let X denote a 0 if the first toss is a head or 1 if the first toss is a zero. Y denotes the number of heads. Find the distribution of X. Of Y. And find the joint distribution of X and Y.
Example: A coin is tossed twice. Let X denote the number of head on the first toss and Y denote the total number of heads on the 2tosses. Construct the join probability mass function of X and Y is given below and answer the following questions. f(x, y) x Row Total 0 1 y 0 1 2 Column Total (a) Find P(X = 0,Y <= 1) (b) Find P(X + Y = 2) (c) Find P(Y ≤ 1) (d)...
======================================================================================================================================================================================================================================================================================= There are two steps in the description of this problem. First, toss the coin until a head appears. Then, toss the coin until a tail appears. It is NOT "toss a coin until a head appears" problem. ======================================================================================================================================================================================================================================================================================= A coin with probability p of heads is tossed until the first head occurs. It is then tossed again until the first tail occurs. Let X be the total number of tosses required (i) Find the distribution function of X (ii)...
A coin with probability p is tossed until the first head occurs. It is then tossed again until the first tail occurs. Let X be the total number of tosses required. 1) Find the distribution function of X. 2) Find the mean and variance of X.
Problem(13) (10 points) An unfair coin is tossed, and it is assumed that the chance of getting a head, H. is (Thus the chance of setting tail, T. is.) Consider a random experiment of throwing the coin 5 times. Let S denote the sample space (a) (2 point) Describe the elements in S. (b) (2 point) Let X be the random variable that corresponds to the number of the heads coming up in the four times of tons. What are...
An experiment consists of tossing an unfair coin (49% chance of landing on heads) a specified number of times and recording the outcomes. (a) What is the probability that the first head will occur on the second trial? (Use 4 decimal places.) Does this probability change if we toss the coin three times? What if we toss the coin four times? The probability changes if we toss the coin four times, but does not change if we toss the coin...
A biased coin has a 40% chance of producing a head. If it is tossed 10 times, What is the probability of getting exactly 3 heads? b. a. What is the probability of getting 3 or more heads. (This can be calculated in two different ways. The easier way uses the complement rule.) a. Find the value of C for which the function f(x) probability density function. b. Use your density function in (a) to find PCO s X 1)...