Question

Use the DeMoivre-Laplace limit theorem to approximate the probability of getting heads exactly 50 times in...

Use the DeMoivre-Laplace limit theorem to approximate the probability of getting heads exactly 50 times in 100 tosses of a fair coin.

Homework Answers

Answer #1

We want to know the probability of getting exactly 50 heads.

First, realize that from the 100 positions, you can count how many ways there are to get 50 heads. Since they can be in 50 positions, there are (100C50) ways of arranging 100 coins with exactly 50 heads.

Now we need the total number of possible coin flips. Each flip has 2 possibilities and there are 100 flips, so there are 2100 possible flips.

Thus, the probably of flipping exactly 50 heads out of 100 = 100C50/2100

= 7.96%

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
A fair coin is tossed 4 times. What is the probability of getting exactly 3 heads...
A fair coin is tossed 4 times. What is the probability of getting exactly 3 heads conditioned on the event that the first two tosses came out the same?
(a) Use the central limit theorem to determine the probability that if you toss a coin...
(a) Use the central limit theorem to determine the probability that if you toss a coin 50 times, you get fewer than 20 heads. (b) A coin is continuously tossed until the heads come up 20th time. Use the central limit theorem to estimate the probability that more than 50 coin tosses are required to get the 20th head. (c) Compare your answers from parts (a) and (b). Why are they close but not exactly equal?
A fair coin is tossed 8 times. Find the probability of getting exactly 4 heads.
A fair coin is tossed 8 times. Find the probability of getting exactly 4 heads.
If a coin is flipped 3 times, what is the probability of getting exactly 2 heads?
If a coin is flipped 3 times, what is the probability of getting exactly 2 heads?
Suppose a fair coin is tossed 64 times. The approximate probability of getting at most 40...
Suppose a fair coin is tossed 64 times. The approximate probability of getting at most 40 heads is given by
Suppose you toss a coin 100 times. Should you expect to get exactly 50 heads? Why...
Suppose you toss a coin 100 times. Should you expect to get exactly 50 heads? Why or why not? A. Yes, because the number of tosses is even, so if the coin is fair, half of the results should be heads. B. No, because the chance of heads or tails is the same, the chance of any number of heads is the same. C. No, there will be small deviations by chance, but if the coin is fair, the result...
Binomial distribution: a) We know that the probability of getting three heads in three throws on...
Binomial distribution: a) We know that the probability of getting three heads in three throws on a weighted coin is 0.008, what is the probability of getting exactly two heads in three throws of that coin? b) A bag has 40 red coins and 60 blue coins. We know that the probability of getting a head on a red coin is 0.5 and getting a head on a blue coin is 0.3. If we take out a coin from the...
A special weighted coin is found to land on heads 52% of the time. This coin...
A special weighted coin is found to land on heads 52% of the time. This coin is flipped 100 times. Use Central Limit Theorem and round answer to the nearest 10th. What is the probability that Heads will appear more than 59 out of these 100 tosses? Round to the nearest 10th of a percent.
Conducting a Simulation For example, say we want to simulate the probability of getting “heads” exactly...
Conducting a Simulation For example, say we want to simulate the probability of getting “heads” exactly 4 times in 10 flips of a fair coin. One way to generate a flip of the coin is to create a vector in R with all of the possible outcomes and then randomly select one of those outcomes. The sample function takes a vector of elements (in this case heads or tails) and chooses a random sample of size elements. coin <- c("heads","tails")...
Suppose you toss a fair coin​ 10,000 times. Should you expect to get exactly 5000​ heads?...
Suppose you toss a fair coin​ 10,000 times. Should you expect to get exactly 5000​ heads? Why or why​ not? What does the law of large numbers tell you about the results you are likely to​ get? Choose the correct answer below. 1)Should you expect to get exactly 5000​ heads? Why or why​ not? A)You​ shouldn't expect to get exactly 5000​ heads, because you cannot predict precisely how many heads will occur. B.You​ shouldn't expect to get exactly 5000​ heads,...