Question

Please show all your work and please answer all the questions. It is greatly appreciated with...

Please show all your work and please answer all the questions. It is greatly appreciated with a thumbs up. Thank you!

11. Calculate the Binomial mean if n=40, and q= 0.73.

12. Calculate the Binomial standard deviation if n=36 and 'p=0.45.

13. Basketball player Darby Missalot makes a free throw 75% of the time. What are the chances he will sink his first basket on the 3rd or 4th attempt?

14. The average number of speeding tickets written per year on Main Street is 60. Use the Poisson Formula to determine the chances that 4 tickets will be written on Main Street October.

15. Use the Poisson Table to determine P(x) if x=8 and μ = 8.9.

16. Find the probability P(65 < x < 75), if the mean is 72 and the standard deviation is 2.

17. Use the Standard normal table to find the z-sσcore that corresponds to P88.

18. Calculate x if the mean is 82, the standard deviation is 2 and z=1.28.

19. Determine σ sub x-bar and μ sub x-bar if μ=244, σ=18, and n=9.

20. If n=10, p=0.65 and q=0.35 can you use the normal approximation to the Binomial? If not, why not? Show the math to defend your answer.

Homework Answers

Answer #1

#11.
mean = n*p = 40*(1-0.27) = 29.2000

#12.
std. dev. = sqrt(npq) = sqrt(36*0.55*0.45) = 2.9850

#13.
required probability = (1-0.75)^2*0.75 + (1-0.75)^3*0.75 = 0.0586

#14.
P(X = x) = (e^-λ) (λ^x) / x!
P(X = 4) = (e^-60)*(60^4)/4! = 0.0000

#15.
P(X = 8) = (e^-8.9)*(8.9^8)/8! = 0.1332

#16.
P(65 < x < 75) = P(X < 75) - P(x < 65)
= P(z < (75 - 72)/2) - P(z < (65 - 72)/2)
= P(z < 1.5) - P(z < -3.5)
= 0.9330

#17.
z-score = 1.1750

#18.
x = 82 + 1.28*2 = 84.5600

#19.
mu(xbar) = 244
sigma(xbar) = 18/sqrt(9) = 6

#20.
np = 6.5
nq = 3.5
No can not use normal approximation because nq < 5

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
Find the mean, μ, and standard deviation, σ, for a binomial random variable X. (Round all...
Find the mean, μ, and standard deviation, σ, for a binomial random variable X. (Round all answers for σ to three decimal places.) (a) n = 45, p = .50. μ = σ = (b) n = 1, p = 0.25. μ = σ = (c) n = 100, p = 0.75. μ = σ = (d) n = 30, p = .01. μ = σ =
Assume a binomial probability distribution with n=55 and π=0.28 . Compute the following: (Round all your...
Assume a binomial probability distribution with n=55 and π=0.28 . Compute the following: (Round all your z values to 2 decimal places.) a) The mean and standard deviation of the random variable. (Round your "σ" to 4 decimal places and mean to 1 decimal place.)​​​​​​​ σ = ___ μ = ___ b) The probability that X is 18 or more. (Use the rounded values found above. Round your answer to 4 decimal places.) c) The probability that X is 12...
Please answer all parts clearly. Any work guidance is very appreciated! For questions 1-3, X has...
Please answer all parts clearly. Any work guidance is very appreciated! For questions 1-3, X has a binomial distribution with n = 13 and p = 0.08. For questions 4-6, X has a binomial distribution with n = 11 and p = 0.24. 1) What is P(X = 0)? 2)What is P(X = 1)? 3)What is P(X > 4)? 4)What is P(X = 0)? 5)What is P(X = 1)? 6)What is P(X > 3)?
Susan is a sales representative who has a history of making a successful sale from about...
Susan is a sales representative who has a history of making a successful sale from about 90% of her sales contacts. If she makes 12 successful sales this week, Susan will get a bonus. Let n be a random variable representing the number of contacts needed for Susan to get the 12th sale. (a) Explain why a negative binomial distribution is appropriate for the random variable n. We have binomial trials for which the probability of success is p =...
Susan is a sales representative who has a history of making a successful sale from about...
Susan is a sales representative who has a history of making a successful sale from about 90% of her sales contacts. If she makes 12 successful sales this week, Susan will get a bonus. Let n be a random variable representing the number of contacts needed for Susan to get the 12th sale. (a) Explain why a negative binomial distribution is appropriate for the random variable n. We have binomial trials for which the probability of success is p =...
PLEASE show all your work Question 4: A company medical director failed to find significant evidence...
PLEASE show all your work Question 4: A company medical director failed to find significant evidence that the mean blood pressure of a population of executives differed from the national mean μ = 128. The medical director now wonders if the test used would detect an important difference if one were present. For a random sample of size 72 from a normal population of executive blood pressures with standard deviation σ = 15, the z statistic is √ z =...
This week we study Normal Distribution. Part 1. Demonstrate that you understand basic concept of Normal...
This week we study Normal Distribution. Part 1. Demonstrate that you understand basic concept of Normal Distribution. In two small paragraphs describe a couple of properties/rules of Normal distribution. Give one example of some practical case where we can use Normal distribution (for instance, IQ scores follow a normal distribution of probabilities with the mean IQ of 100 and a standard deviation around the mean of about 15 IQ points.) Part 2. Assign your numbers for mean μ and standard...
X is a binomial random variable with the parameters shown. Use the special formulas to compute...
X is a binomial random variable with the parameters shown. Use the special formulas to compute its mean μ and standard deviation σ. 1. n = 8, p = 0.43 2. n = 47, p = 0.82 3. n = 1200, p = 0.44 4. n = 2100, p = 0.62
Let X be normally distributed with the mean μ = 100 and some unknown standard deviation...
Let X be normally distributed with the mean μ = 100 and some unknown standard deviation σ. The variable Z = X − A σ is distributed according to the standard normal distribution. Enter the value for A =  . It is known that P ( 95 < X < 105 ) = 0.5. What is P ( − 5 σ < Z < 5 σ ) =  (enter decimal value). What is P ( Z < 5 σ ) =  (as a...
Let X be normally distributed with the mean μ = 50 and some unknown standard deviation...
Let X be normally distributed with the mean μ = 50 and some unknown standard deviation σ. The variable Z = X − A σ is distributed according to the standard normal distribution. Enter the value for A =  . It is known that P ( 44 < X < 56 ) = 0.4. What is P ( − 6 σ < Z < 6 σ ) =  (enter decimal value). What is P ( Z < 6 σ ) =  (as a...