Question

What distribution is appropriate for simulating the event of flipping a coin? a. continuous uniform b....

What distribution is appropriate for simulating the event of flipping a coin?

a. continuous uniform

b. triangular

c. binomial

d. discrete uniform

Homework Answers

Answer #1

The random experiment of flipping a coin satisfies all the criterion of a Binomial experiment, and hence the Binomial distribution applies. Primarily, the Binomial experiment or Bernoulli trials assume independence between repeated trials of the experiment, viz. true here with probability of success, p = 0.5. The random variable X, defined as the number of Heads (or tails) obtained in n repetitions of the experiment using a fair coin, has the distribution

In general, if the coin is biased and has the probability to obtain a Head as p, then

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
Draw an uncertain event that is characterized by the discrete uniform distribution with four potential outcomes...
Draw an uncertain event that is characterized by the discrete uniform distribution with four potential outcomes (A, B, C, D).
Use the Excel Program to generate a uniform distribution and then show that a flipping fair...
Use the Excel Program to generate a uniform distribution and then show that a flipping fair coin many times will result in having a 50% chance of landing heads up and a 50% chance of landing tails up.
When flipping a standard coin, the outcomes observed are expected to follow a Binomial distribution –...
When flipping a standard coin, the outcomes observed are expected to follow a Binomial distribution – there are only two outcomes, the probabilities are identical from one trial to the next, the trials are independent, and the number of times we flip the coin is positive. Assuming that the odds of observing Heads or Tails on a given trial is 50% and we plan to flip the coin 20 times, how many Heads should we expect to observe? Given the...
If a binomial experiment involves flipping a fair coin four times and counting the number of...
If a binomial experiment involves flipping a fair coin four times and counting the number of heads that result, the probability of at least three heads turning up in four flips is what? A mobile provider believes that its new promotion will convince 20% of their competitors' customers to switch to their own service. If the company's forecasts are correct, what is the approximate probability that one out of four randomly selected competitors' customers will switch after exposure to the...
For the continuous uniform distribution between [3, 11]: a) What is the probability of seeing values...
For the continuous uniform distribution between [3, 11]: a) What is the probability of seeing values between [5, 8] ? b) What is the probability of seeing values between [1,2] ? c) What is the probability of seeing values between [9, 12] ?
Which type of variable would measurements of height be? a. Discrete b. Continuous On any random...
Which type of variable would measurements of height be? a. Discrete b. Continuous On any random flip of the coin, the chance of getting "heads" is the same as the chance of getting "tails". We would say the two events are a. equally likely b. a simulation c. not likely d. a sample The measure of the likelihood that an event will occur is known as a. standard deviation b. sample space c. expected value d. probability The probability that...
What kind of variable has values determined by chance? random variable discrete variable continuous variable Question...
What kind of variable has values determined by chance? random variable discrete variable continuous variable Question 5 A binomial distribution is a probability distribution for a: discrete random variable continuous random variable Question 6 A normal distribution is a probability distribution for a: continuous random variable discrete random variable Question 7 Which is not a property of the binomial distribution? only two outcomes fixed number of trials constant probability of success dependent outcomes
Calculate the probability that X ≤ E[X] assuming that: (a) X is a continuous random variable...
Calculate the probability that X ≤ E[X] assuming that: (a) X is a continuous random variable with uniform distribution; (b) X is a continuous random variable with an Exp(1) distribution; (c) X is a discrete random variable with a Poisson(1) distribution. (d) X is continuous random variable with standard normal distribution.
1.Find the uniform probability distribution over the range (3<=x<=7; and make its graph 2.What is the...
1.Find the uniform probability distribution over the range (3<=x<=7; and make its graph 2.What is the types of probability distribution?(types of discrete and continuous)
1.) Consider the experiment of flipping a fair coin 3 times, the result of each flip...
1.) Consider the experiment of flipping a fair coin 3 times, the result of each flip yielding either Heads (H) or Tails (T) I) How many possible outcomes are there in the sample space? II)) List all the possible outcomes in the sample space III) Define event A to be the event that a single trial results in exactly 2 Heads A= P(A)= Interpret P(A): IV) Define event B to be the event that a single trail results in more...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT