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c) d) 120 200 10) We flip a fair coin 4 times. Define a random variable...
We flip a fair coin 10 times. What is the probability that there are at least 4 heads out of the 10 flips?
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...
Exercise 1.16. We flip a fair coin five times. For every heads you pay me $1 and for every tails I pay you $1. Let X denote my net winnings at the end of five flips. Find the possible values and the probability mass function of X.
Suppose you flip a coin 15 times and let x be the discrete random variable of the number of heads obtained. Use the binomial distribution table to find each of the following probabilities. (A) p(exactly 8 heads)= (b) p(at least one head)= (c) P(at most 3 heads)=
If we flip a fair coin 15 times, what is the probability of not flipping 15 heads in a row?
Exercise 10.17. We flip a fair coin. If it is heads we roll 3 dice. If it is tails we roll 5 dice. Let X denote the number of sixes among the rolled dice. (a) Find the probability mass function of X. (b) Find the expected value of X.
12. The total number of heads for a coin flipped four times is a random variable X with the following probability distribution P(X-0) 0.0625 PX-1) 0.2500 P(X-2) 0.3750 POX-3) 0.2500 P(X-4) 0.0625 Draw a graph of the density function. 13. The total number of heads for a coin flipped four times is a random variable X with the following probability distribution. P(X-0) 0.10 P(X-1) 0.40 P(X-2) 0.20 P(X-3) 0.10 P(X-4) 0.20 Determine the mean and variance of x.
4. Toss a fair coin 6 times and let X denote the number of heads that appear. Compute P(X ≤ 4). If the coin has probability p of landing heads, compute P(X ≤ 3) 4. Toss a fair coin 6 times and let X denote the number of heads that appear. Compute P(X 4). If the coin has probability p of landing heads, compute P(X < 3).
a. Suppose that a fair coin is tossed 15 times. If 10 heads are observed, determine an expression / equation for the probability that 7 heads occurred in the first 9 tosses. b. Now, generalize your result from part a. Now suppose that a fair coin is to be tossed n times. If x heads are observed in the n tosses, derive an expression for the probability that there were y heads observed in the first m tosses. Note the...
One gambler flips a fair coin in three separate times. Letting a random variable X represent his winnings in the following way: He loses $1 if he gets no heads in three flips; he wins $1, $2, and $3 if he obtains 1, 2, or 3 heads, respectively. (a) Find the probability mass function of X. (b) Find the probability density function of X. (c) Find the cumulative distribution function of X. (d) Find the probability that he wins more...