Here the concept of bayes theorem will be used.
A jar is equally populated with coins of type H50, H55, and H60.
This means P(getting coin H50)=
P(getting coin H55)=
P(getting coin H60)=
Also one needs to know the pdf of binomail distribution.
If X~Binomial(n, p)
where n=total number of trials
p=probability of success
then
P(X=r) =
r=0,1,2,....n
= 0 otherwise




H60 (with probabilities of coming up heads 0.5, 0.55, and 0.6 respectively). You take one coin...
There are three coins. They have chances 0.4, 0.6 and 0.8 respectively of showing heads. One of these three coins is chosen at random and flipped. (a) What is the chance that the coin chosen is the coin with probability equal to .4 of showing heads and a head shows up after the flip? (b) What is the chance that the coin, when flipped, shows a head? (c) Given that the coin, when flipped, shows a head, what is the...
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Suppose you have two coins. One coin is fair and other is a coin with heads on both sides. Now you choose a coin at random and flip the coin. If the coin lands head, what is the probability that it was the fair coin?
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Mysterioso the Magician is walking down the street with a box containing 25 identical looking coins: 24 are fair coins (which flip heads with probability 0.5 and tails with probability 0.5) and one is a trick coin which alwavs flips heads. Renata the Fox skillfully robs Mysterioso of one of the coins in his box (chosen uniformly at random). She decides she will flip the coin k times to test if it is the trick coin. (a) What is the...
2. Mysterioso the Magician is walking down the street with a box containing 25 identical looking coins: 24 are fair coins (which flip heads with probabilty 0.5 and tails with probability 0.5) and one is a trick coin which always flips heads. Renata the Fox skillfully robs Mysterioso of one of the coins in his box (chosen uniformly at random). She decides she will flip the coin k times to test if it is the trick coin (a) What is...
Do the following in MATLAB: trials = 100; flip = rand(trials,1); heads = (flip >= 0.5); percentheads = sum(heads)/trials a.We can use a random number generator to estimate probabilities that might otherwise be difficult to evaluate. Consider the probability of obtaining four heads on four flips. Generate four separate random experiments of 0s and 1s representing N trials each. (You can do this by generating an Nx4 random array rather than an Nx1 array as in #1.) Now look at...
Suppose you have an unfair coin that is weighted so that heads comes up only 30 percent of the time. If you flip the coin 4 times, what is the probability that you obtain at least 3 heads in the 4 flips?