The probability of 0 heads is equal to the probability of 4 heads.
Since the coin is fair, the probability of no heads in 4 tosses is
Same is the probability of getting 4 heads.
The probability of getting 1, 2, or 3 heads is different. For example, there are four ways to get 1 head:
HTTT, THTT, TTHT, TTTH
Each of these cases has probability 1/16 as before, but there are 4 of them so the total probability of getting 1 head is 4/16.
It is a similar procedure to count the number of ways to get 2 or 3 heads. More generally, the number of ways to get x heads out of n coin tosses is given by the binomial coefficient:
To generalize even further, this coin tossing experiment follows the binomial distribution. If the probability of tossing a head is p then the PMF is given by
Since p=1/2
We have
Expectation of X
Let X equal to the number of heads after 4 flips of a fair coin? Derive...
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).
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...
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?
In a game, a person flips a fair coin twice, and based on the number of heads observed, he will be allowed to shoot so many times (equal to the number of heads observed) on a target. Assume the probability of hitting a target in one shot is 0.2. What is the probability of not hitting the target? Answer [The answer should be a number rounded to five decimal places, don't use symbols such as %]
In a game, a person flips a fair coin twice, and based on the number of heads observed, he will be allowed to shoot so many times (equal to the number of heads observed) on a target. Assume the probability of hitting a target in one shot is 0.2. What is the probability of not hitting the target? [The answer should be a number rounded to five decimal places, don't use symbols such as %]
In a game, a person flips a fair coin twice, and based on the number of heads observed, he will be allowed to shoot so many times (equal to the number of heads observed) on a target. Assume the probability of hitting a target in one shot is 0.2. If the person obtained two heads, what is the probability of hitting the target only once? [The answer should be a number rounded to five decimal places, don't use symbols such...
In a game, a person flips a fair coin twice, and based on the number of heads observed, he will be allowed to shoot so many times (equal to the number of heads observed) on a target. Assume the probability of hitting a target in one shot is 0.25. If the person obtained two heads, what is the probability of hitting the target only once? [The answer should be a number rounded to five decimal places, don't use symbols such...
In a game, a person flips a fair coin twice, and based on the number of heads observed, he will be allowed to shoot so many times (equal to the number of heads observed) on a target. Assume the probability of hitting a target in one shot is 0.2. What is the probability of hitting the target only once? [The answer should be a number rounded to five decimal places, don't use symbols such as %]
A fair coin is tossed 20 times. Let X be the number of heads thrown in the first 10 tosses, and let Y be the number of heads tossed in the last 10 tosses. Find the conditional probability that X = 6, given that X + Y = 10.
A fair coin is tossed 20 times. Let X be the number of heads thrown in the first 10 tosses, and let Y be the number of heads tossed in the last 10 tosses. Find the conditional probability that X = 6, given that X + Y = 10.