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Suppose we toss a fair coin every second so the first toss is at time t1. Define a random variabl...
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 hea...
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...
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. Imagine a coin toss experiment, where P(Heads)-P(Tails) 0.5. Define a random variable of your choice...
1. Imagine a coin toss experiment, where P(Heads)-P(Tails) 0.5. Define a random variable of your choice for this experiment and come up formulation for a question about this experiment, so that The distribution of a random variable for this experiment follows a binomial distribution The distribution of a random variable for this experiment follows a geometric distribution a. b. Note: you are only required to come up with the problem statement. Note, that this experiment itself is a Bernoulli trial....
please explain so clearly with step by step thank! Example 1.19.2. We toss a coin three...
please explain so clearly with step by step thank!
Example 1.19.2. We toss a coin three times. Let X (Y) be the random variable which gives the number of heads from the first (last) two tosses. Show t 1. E(X) E(Y)-1; 4. has the distribution 1 +Y 0 3 2 3 1+Y 212 1 2
A fair coin is flipped independently until the first Heads is observed. Let the random variable...
A fair coin is flipped independently until the first Heads is observed. Let the random variable K be the number of tosses until the first Heads is observed plus 1. For example, if we see TTTHTH, then K = 5. For k 1, 2, , K, let Xk be a continuous random variable that is uniform over the interval [0, 5]. The Xk are independent of one another and of the coin flips. LetX = Σ i Xo Find the...
Suppose we toss a weighted coin, for which the probability of getting a head (H) is...
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...
question B needs more explaination Challenge Problem: Suppose that we toss a biased coin repeatedly with...
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...
# JAVA Problem Toss Simulator Create a coin toss simulation program. The simulation program should toss...
# 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...
2. Suppose we want to test whether a coin is fair (that is, the probability of...
2. Suppose we want to test whether a coin is fair (that is, the probability of heads is p = .5). We toss the coin 1000 times, and record the number of heads. Let T denote the number of heads divided by 1000. Consider a test that rejects the null hypothesis that p=.5 if T > c. (a) Write down a formula for P(T>c) assuming p = 0.5. (This formula may be compli- cated, but try to give an explicit...
I'm working on probability HW and working on word problems. Do you have any tips as...
I'm working on probability HW and working on word problems. Do you have any tips as to how to differentiate between Poisson distributions from Binomials, Geometric and Negative Binomials when doing word problems...i provided an examples for everything but Possion, please explain Poisson distribution using the same example structures Binomial is simplest one in this we have number of trials given 'n' and probability of success 'p' and they ask for probability of getting success 'r' times. For example: When...
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...
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. Imagine a coin toss experiment, where P(Heads)-P(Tails) 0.5. Define a random variable of your choice for this experiment and come up formulation for a question about this experiment, so that The distribution of a random variable for this experiment follows a binomial distribution The distribution of a random variable for this experiment follows a geometric distribution a. b. Note: you are only required to come up with the problem statement. Note, that this experiment itself is a Bernoulli trial....
please explain so clearly with step by step thank!
Example 1.19.2. We toss a coin three times. Let X (Y) be the random variable which gives the number of heads from the first (last) two tosses. Show t 1. E(X) E(Y)-1; 4. has the distribution 1 +Y 0 3 2 3 1+Y 212 1 2
A fair coin is flipped independently until the first Heads is observed. Let the random variable K be the number of tosses until the first Heads is observed plus 1. For example, if we see TTTHTH, then K = 5. For k 1, 2, , K, let Xk be a continuous random variable that is uniform over the interval [0, 5]. The Xk are independent of one another and of the coin flips. LetX = Σ i Xo Find the...
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...
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...
2. Suppose we want to test whether a coin is fair (that is, the probability of heads is p = .5). We toss the coin 1000 times, and record the number of heads. Let T denote the number of heads divided by 1000. Consider a test that rejects the null hypothesis that p=.5 if T > c. (a) Write down a formula for P(T>c) assuming p = 0.5. (This formula may be compli- cated, but try to give an explicit...
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