15. We flip a fair coin three times; these flips are independent of each other. These...
Suppose we flip a fair coin n times. We say that the sequence is balanced when there are equal number of heads and tails. For example, if we flip the coin 10 times and the results are HT HHT HT T HH, then this sequence balanced 2 times, i.e. at position 2 and position 8 (after the second and eighth flips). In terms of n, what is the expected number of times the sequence is balanced within n flips?
Coin Flips: If you flip a fair coin 5 times, what is the probability of each of the following? (please round all answers to 4 decimal places) a) getting all tails? b) getting all heads?
2. We flip a fair coin 5 times. Let A be the event that at least one T was flipped immediately after an H (i.e. the combination HT appears at least once in your sequence of flips). Use a Markov chain to compute P(A). Hint: Try using the following three states for your Markov chain: State 0: HT has not appeared yet and cannot appear in the next flip; State 1: HT has not appeared yet, but could appear in...
We flip a fair coin 5 times. Let A be the event that at least one T was flipped immediately after an H (i.e. the combination HT appears at least once in your sequence of flips). Use a Markov chain to compute P(A). Hint: Try using the following three states for your Markov chain: State 0: HT has not appeared yet and cannot appear in the next flip; State 1: HT has not appeared yet, but could appear in the...
Please show ALL STEPS. NEAT HANDWRITING ONLY PLEASE Thank You Suppose we flip a fair coin n times. We say that the sequence is balanced when there are equal number of heads and tails. For example, if we flip the coin 10 times and the results areHTHHTHTTHH, then this sequence balanced 2 times, i.e. at position 2 and position 8 (after the second and eighth flips). In terms of n, what is the expected number of times the sequence is...
. Discrete Distributions. Suppose I flip a coin 40 times. The flips are independent. The probability the coin will come up heads is 40% at each flip. Let X be the number of heads observed in the 40 flips. 26. What is the expected value of X? 27. What is the variance of X? 28. What is P(X 18)? 29. What is P(X 2 18) 30. Using the normal approximation to the binomial with the conti 31. Is the normal...
Probability Puzzle 3: Flipping Coins If you flip a coin 3 times, the probability of getting any sequence is identical (1/8). There are 8 possible sequences: HHH, HHT, HTH, HTT, THH, THT, TTH, TTT Let's make this situation a little more interesting. Suppose two players are playing each other. Each player choses a sequence, and then they start flipping a coin until they get one of the two sequences. We have a long sequence that looks something like this: HHTTHTTHTHTTHHTHT.......
Question 2 Suppose you have a fair coin (a coin is considered fair if there is an equal probability of being heads or tails after a flip). In other words, each coin flip i follows an independent Bernoulli distribution X Ber(1/2). Define the random variable X, as: i if coin flip i results in heads 10 if coin flip i results in tails a. Suppose you flip the coin n = 10 times. Define the number of heads you observe...
Suppose we flip a coin three times, thereby forming a sequence of heads and tails. Form a random vector by mapping each outcome in the sequence to 0 if a head occurs or to 1 if a tail occurs. (a) How many realizations of the vector may be generated? List them. (b) Are the realizations independent of one another?
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...