Questions
Please give detailed solution for this Coin 1 comes up heads with probability .3, whereas coin...

Please give detailed solution for this

Coin 1 comes up heads with probability .3, whereas coin 2 comes up heads with probability .6. A coin is randomly chosen and flipped 10 times.

(a) Find the probability the first flip lands heads.

(b) Find the expected number of heads in the 10 flips.

(c) Find the probability that there are a total of 7 heads.

In: Statistics and Probability

Find the probability to randomly assign numbers from 1 to ? to ? people such that...

Find the probability to randomly assign numbers from 1 to ? to ? people such that exactly two people get the same number (2<?≤?)? Guidance: Start with numbering the people that have the same number and then number the rest.

In: Statistics and Probability

the US has removed its prior ban on exporting crude oil. what has been the impact...

the US has removed its prior ban on exporting crude oil. what has been the impact of the new policy? what is your position on this issue? who wins? who loses?

In: Economics

For Exercises explain how each could be simulated by using random numbers. Two players select a card from a deck with no face cards. The player who gets the higher card wins.

For Exercises explain how each could be simulated by using random numbers.

Two players select a card from a deck with no face cards. The player who gets the higher card wins.

In: Statistics and Probability

A company prices its tornado insurance using the following assumptions: • In any calendar year, there...

A company prices its tornado insurance using the following assumptions:
• In any calendar year, there can be at most one tornado.
• In any calendar year, the probability of a tornado is 0.04.
• The number of tornadoes in any calendar year is independent of the number of tornados in any other calendar year.
Using the company's assumptions, calculate the probability that there are fewer than 4 tornadoes in a 20-year period.

  

In: Statistics and Probability

4.) Determine whether the following probability experiment is a binomial experiment. If the probability experiment is...

4.) Determine whether the following probability experiment is a binomial experiment. If the probability experiment is not a binomial experiment, state why?

a.) In a town with 400 citizens, 100 randomly selected citizens are asked to identify their religion. The number who identify with a Christian religion is recorded.

b.) An experiment is conducted in which a single die is cast until a 3 comes up. The number of throws required is recorded.

In: Statistics and Probability

A company prices its tornado insurance using the following assumptions: • In any calendar year, there...

A company prices its tornado insurance using the following assumptions:

• In any calendar year, there can be at most one tornado.

• In any calendar year, the probability of a tornado is 0.01.

• The number of tornadoes in any calendar year is independent of the number of tornados in any other calendar year.

Using the company's assumptions, calculate the probability that there are fewer than 3 tornadoes in a 16-year period.

In: Statistics and Probability

You decide to grow your own tomato plant (A Cosmonaut Yuri to be exact). Define X...

You decide to grow your own tomato plant (A Cosmonaut Yuri to be exact).

Define X to be a random variable denoting how many tomatoes your tomato plant will grow. The probability mass function (pmf) of X is as follows:

x 0 1 2 3 4 5 6 7
P(X=x) .14 .16 .15 .10 .15 .08 .12 .1

Find the probability that you will get four tomatoes.

Find the probability that you will get at least two tomatoes.

Find the probability that you will get less than three tomatoes.

Find the probability that you will get greater than two tomatoes

Find the probability that you will get at most four tomatoes.

Compute the expected number of tomatoes (the expectation X).

Compute the expected value of

Compute the variance of X

Compute the standard deviation of X

Find the probability that the number of tomatoes you will get is less than 5 but greater than 1.

In: Statistics and Probability

Solve all the following questions from chapter 4 : 1) If a dice is thrown up...

Solve all the following questions from chapter 4 :
1) If a dice is thrown up one time, what is the probability of getting a number greater
than 2 or less than 5 ?
2) If two dice are thrown up once, what is the probability to get total numbers less
than 8 or at most 5 ?
3) If a dice is thrown up one time, what is the probability of getting an odd number
giving that the number is divided by 3 ?
4) If two dice are thrown up once, what is the probability to get total numbers greater
than 11 if the second number is 5 ?
5) If A , B are two events , P(A) = 0.5 , P(B) = 0.2 , P(A and B) = 0.4 , find P(A or B)
6) If A , B are two independent events , P(A) = 0.24 , P(B) = 0.31 , Find P(A or B)
7) If A , B are two events , P(B) = 0.8 , P(A and B) = 0.5 , find P(A \ B)
8) If A , B are two events , P(B) = 0.35 , P(A \ B) = 0.14 , find P(A and B)

In: Statistics and Probability

Assignment 7a (GBUS303)                                    Name: Willow Bro

Assignment 7a (GBUS303)                                    Name:

Willow Brook National bank operates a drive-up teller window that allows customers to complete bank transactions without getting out of their cars. On weekday mornings, arrivals to the drive-up teller window occur at random with a Poisson distribution with arrival rate of 20 customers per hour. (All applicable formulas are required)

1). how much is the mean number of arrivals per minute? the arrival rate λ.

Assume that the service times for the drive-up teller follow an exponential probability distribution with a service rate of 40 customers per hour.

2) how much is the mean number of customers that can be served per minute? the service rate μ.  

3) The probability that no customers are in the system

4) The average number of customers waiting

5) The average number of customers in the system

6)the average time a customer spends waiting

7) The average time a customer spends in the system

8) The probability that arriving customers will have to wait for service.

9) The probability that 3 customers in the system.

In: Statistics and Probability