




We toss a fair coin n 400 times and denote Zn the number of heads. (a) What are E(Zn) et Var(Zn)1...
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).
We toss a fair coin n times. What is the probability that we get at least 3 heads given that we get at least one?
Toss a fair coin 4 times. Let Y be the number of heads. (a) What is the probability mass function of Y ? Compare your answer to the probability mass function of Binomial distribution. (b) What is the cumulative distribution function of Y ? (c) What is the expected value of Y ? (d) What is the variance of Y?
1. A jar has two kinds of coins. Some of them are fair, and some of them have are biased, in which case P(heads) = 2 . 3 A coin is selected from the jar. Since we don’t know which kind it is, we toss it 50 times. Let X be the number of heads that occur. Please note carefully the directions of the inequalities (≤ or ≥) in each of the questions below. (a) Suppose the coin chosen is...
Extra question: Toss a coin three times. Let X denote the number of heads in the results. Let Y denote the absolute value of the difference between the number of heads and the number of tails. What is the frequency function of (X,Y)?
A fair coin is tossed n times. Let X be the number of heads in this n toss. Given X = x, we generate a Poisson random variable Y with mean x. Find Var[Y]. Answer depends on n.
Suppose a fair coin is tossed 280 times. Find the probability that the number of Heads observed is 151 or more. Use Binomial Distribution and Normal Approximation and compare the results.
If we toss a fair coin 50 times what is the likelihood that we land on heads 30 times or more in percentage?
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
A fair coin is tossed 100 times. Determine the probability that the number of heads observed is at least 42 and at most 49 (inclusive). Approximate your answer using the normal approximation.