Question

A random sample is to be selected from a population that has a proportion of successes...

A random sample is to be selected from a population that has a proportion of successes p = 0.68. Determine the mean and standard deviation of the sampling distribution of for each of the following sample sizes. (Round your standard deviations to four decimal places.)

(a)    n = 10

    
standard deviation     


(b)    n = 20

  
standard deviation     


(c)    n = 30

    
standard deviation     


(d)    n = 50

    
standard deviation     


(e)    n = 100

    
standard deviation     


(f)    n = 200

    
standard deviation     

Homework Answers

Answer #1

p=0.68 ; q= 0.32

mean = np

variance = npq

a) n=10

mean = 10 0.68 = 6.8

standard deviation = 1.4751

b) n=20

mean = 20   0.68 =13.6

standard deviation = 2.0861

c) n=30

mean = 30   0.68 = 20.4

standard deviation =2.5550

d) n=50

mean = 50   0.68 = 34

standard deviation =3.2985

e) n=100

mean = 100 0.68 = 68

standard deviation =4.6648

f) n=200

mean = 200   0.68 = 136

standard deviation =6.5970

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 random sample is to be selected from a population that has a proportion of successes...
A random sample is to be selected from a population that has a proportion of successes p = 0.69. Determine the mean and standard deviation of the sampling distribution of p̂ for each of the following sample sizes. (Round your standard deviations to four decimal places.) (a)    n = 30 mean      standard deviation      (b)    n = 40 mean      standard deviation      (c)    n = 50 mean      standard deviation      (d)    n = 70 mean      standard deviation      (e)    n =...
A random sample is selected from a population with mean μ = 100 and standard deviation...
A random sample is selected from a population with mean μ = 100 and standard deviation σ = 10. Determine the mean and standard deviation of the x sampling distribution for each of the following sample sizes. (Round the answers to three decimal places.) (a) n = 8 μ = σ = (b) n = 14 μ = σ = (c) n = 34 μ = σ = (d) n = 55 μ = σ = (f) n = 110...
A random sample of size n = 50 is selected from a binomial distribution with population...
A random sample of size n = 50 is selected from a binomial distribution with population proportion p = 0.8. Describe the approximate shape of the sampling distribution of p̂. Calculate the mean and standard deviation (or standard error) of the sampling distribution of p̂. (Round your standard deviation to four decimal places.) mean = standard deviation = Find the probability that the sample proportion p̂ is less than 0.9. (Round your answer to four decimal places.)
31) – (33): A random sample of size n = 40 is selected from a population...
31) – (33): A random sample of size n = 40 is selected from a population that has a proportion of successes p = 0.8. 31) Determine the mean proportion of the sampling distribution of the sample proportion. 32) Determine the standard deviation of the sampling distribution of the sample proportion, to 3 decimal places. 33) True or False? The sampling distribution of the sample proportion is approximately normal.
A random sample of size n = 40 is selected from a binomial distribution with population...
A random sample of size n = 40 is selected from a binomial distribution with population proportion p = 0.25. (a) What will be the approximate shape of the sampling distribution of p̂? approximately normal skewed symmetric Correct: Your answer is correct. (b) What will be the mean and standard deviation (or standard error) of the sampling distribution of p̂? (Round your answers to four decimal places.) mean 0.25 Correct: Your answer is correct. standard deviation 0.0685 Correct: Your answer...
1. Suppose a random sample of 100 elements is selected from a non-normally distributed population with...
1. Suppose a random sample of 100 elements is selected from a non-normally distributed population with a mean of µ = 30 and a standard deviation of σ = 8. a. What is the expected value of ?̅? b. What is the standard error of the mean ??̅? c. What is the sampling distribution of ?̅? Describe its properties. d. If we select a random sample of size n = 100, what is the probability that ?̅will fall within ±...
A random sample is selected from a population with mean μ = 102 and standard deviation...
A random sample is selected from a population with mean μ = 102 and standard deviation σ = 10. Determine the mean and standard deviation of the x sampling distribution for each of the following sample sizes. (Round the answers to three decimal places.) (a) n = 12 μ =   σ =   (b) n = 13 μ =   σ =   (c) n = 37 μ =   σ =   (d) n = 70 μ =   σ =   (f) n = 140...
suppose a random sample of n measurements is selected from a binomial population with probability of...
suppose a random sample of n measurements is selected from a binomial population with probability of success p=0.31. given n=300. describe the shape, and find the mean and the standard deviation of the sampling distribution of the sample proportion
Suppose a random sample of n measurements is selected from a binomial population with probability of...
Suppose a random sample of n measurements is selected from a binomial population with probability of success p = .38. Given n = 300, describe the shape, and find the mean and the standard deviation of the sampling distribution of the sample proportion,  .
(05.02 LC) The Central Limit Theorem says that when sample size n is taken from any...
(05.02 LC) The Central Limit Theorem says that when sample size n is taken from any population with mean μ and standard deviation σ when n is large, which of the following statements are true? (4 points) I. The distribution of the sample mean is exactly Normal. II. The distribution of the sample mean is approximately Normal. III. The standard deviation is equal to that of the population. IV. The distribution of the population is exactly Normal. a I and...