Question

We have two coins whose heads are marked 2 and tails marked 1. One is a...

We have two coins whose heads are marked 2 and tails marked 1. One is a fair coin and the other is a biased coin whose probabilities of 'Head' are 1/2 and 1/4 respectively.Suppose we toss the two coins simultaneously. Let S and P be the sum and product of all the outcome numbers on the coins, respectively. 1. Compute the mean and variance of S. Calculate up to 3 decimal places (round the number at 4th place) if necessary. 2. Compute the mean of P

Homework Answers

Answer #1

Let X1 shows the outcome of fair coin and X2 shows the outcome of biased coin.

P(X1=2) = 1/2 = 0.5, P(X1=1) = 1/2 =0.5

P(X2=2) = 1/4 = 0.25, P(X2=1) = 1 - (1/4) = 3/4 =0.75

Since both coins are independent so

P(X1=x1 and X2=x2) = P(X1=x1)P(X2=x2)

1:

Following table shows the calculations for S and corresponding probabilities:

X1 X2 P(X1=x1) P(X2=x2) S=X1+X2 P(S=s)=P(X1=x1)P(X2=x2)
2 2 0.5 0.25 4 0.125
2 1 0.5 0.75 3 0.375
1 2 0.5 0.25 3 0.125
1 1 0.5 0.75 2 0.375
Total 1

Now we need to sum the probabilites of S for common values of S. Following table show the pdf of S and calculations for mean and variance:

S P(S=s) s*P(S=s) s^2*P(S=s)
4 0.125 0.5 2
3 0.5 1.5 4.5
2 0.375 0.75 1.5
Total 1 2.75 8

The mean of S is:

The variance of S is:

2:

Following table shows the calculations for P and corresponding probabilities:

X1 X2 P(X1=x1) P(X2=x2) P=X1*X2 P(P=p)=P(X1=x1)P(X2=x2)
2 2 0.5 0.25 4 0.125
2 1 0.5 0.75 2 0.375
1 2 0.5 0.25 2 0.125
1 1 0.5 0.75 1 0.375
Total 1

Now we need to sum the probabilites of P for common values of P. Following table show the pdf of P and calculations for mean and variance:

P P(P=p) p*P(P=p) p^2*P(P=p)
4 0.125 0.5 2
2 0.5 1 2
1 0.375 0.375 0.375
Total 1 1.875 4.375

The mean of S is:

The variance of P is:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Deriving fair coin flips from biased coins: From coins with uneven heads/tails probabilities construct an experiment...
Deriving fair coin flips from biased coins: From coins with uneven heads/tails probabilities construct an experiment for which there are two disjoint events, with equal probabilities, that we call "heads" and "tails". a. given c1 and c2, where c1 lands heads up with probability 2/3 and c2 lands heads up with probability 1/4, construct a "fair coin flip" experiment. b. given one coin with unknown probability p of landing heads up, where 0 < p < 1, construct a "fair...
We are given three coins: one has heads in both faces, the second has tails in...
We are given three coins: one has heads in both faces, the second has tails in both faces, and the third has a head in one face and a tail in the other. We choose a coin at random, toss it, and the result is heads. What is the probability that the opposite face is tails?  
Suppose I have two biased coins: coin #1, which lands heads with probability 0.9999, and coin...
Suppose I have two biased coins: coin #1, which lands heads with probability 0.9999, and coin #2, which lands heads with probability 0.1. I conduct an experiment as follows. First I toss a fair coin to decide which biased coin I pick (say, if it lands heads, I pick coin #1, and otherwise I pick coin #2) and then I toss the biased coin twice. Let A be the event that the biased coin #1 is chosen, B1 the event...
Part 1. Two fair coins are tossed and we are told that one turned up “Heads”....
Part 1. Two fair coins are tossed and we are told that one turned up “Heads”. What is the probability that the other turned up “Tails”? Part 2. Two fair coins are tossed, and we get to see only one, which happened to turn up “Heads”. What is the probability that the hidden coin turned up “Tails”? *Remark This problem is really different from the previous one!
You select a coin at random: 2/3 of the coins are unfair, 1/3 of the coins...
You select a coin at random: 2/3 of the coins are unfair, 1/3 of the coins are fair. The fair coins are equally likely to flip heads or tails. The unfair coins flip heads 3/4 of the times, and tails 1/4 of the times. You flip the selected coin and get heads or tails. Find (1) the probability that the selected coin is fair given the flip is heads, (2) the probability that the selected coin is fair given the...
We toss two coins. Let X be the number of heads. (a) [2 pts] Find the...
We toss two coins. Let X be the number of heads. (a) [2 pts] Find the sample space S for X. (b) [2 pts] Find P(X = 0). (c) [4 pts] Find the mean of the number of heads. (d) [4 pts] Find the variance of the number of heads.
Consider two coins, one fair and one unfair. The probability of getting heads on a given...
Consider two coins, one fair and one unfair. The probability of getting heads on a given flip of the unfair coin is 0.10. You are given one of these coins and will gather information about your coin by flipping it. Based on your flip results, you will infer which of the coins you were given. At the end of the question, which coin you were given will be revealed. When you flip your coin, your result is based on a...
Suppose we toss a fair coin three times. Consider the events A: we toss three heads,...
Suppose we toss a fair coin three times. Consider the events A: we toss three heads, B: we toss at least one head, and C: we toss at least two tails. P(A) = 12.5 P(B) = .875 P(C) = .50 What is P(A ∩ B), P(A ∩ C) and P(B ∩ C)? If you can show steps, that'd be great. I'm not fully sure what the difference between ∩ and ∪ is (sorry I can't make the ∪ bigger).
In a situation where we have a biased coin that is tails with probability 0.7 and...
In a situation where we have a biased coin that is tails with probability 0.7 and we independently flip it 10 times. Find the following probabilities. 1. getting the sequence HTHHHTHTTH? 2. exactly 4 tails? 3. at least 4 tails? 4. expected number of tails? expected number of heads?
Q3. Suppose you toss n “fair” coins (i.e., heads probability = 1/21/2). For every coin that...
Q3. Suppose you toss n “fair” coins (i.e., heads probability = 1/21/2). For every coin that came up tails, suppose you toss it one more time. Let X be the random variable denoting the number of heads in the end. What is the range of the variable X (give exact upper and lower bounds) What is the distribution of X? (Write down the name and give a convincing explanation.)
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT