Question

Suppose a random sample of size 60 is selected from a population with  = 12. Find the...

Suppose a random sample of size 60 is selected from a population with  = 12. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate).

The population size is infinite (to 2 decimals).

The population size is N = 50,000 (to 2 decimals).

The population size is N = 5,000 (to 2 decimals).

The population size is N = 500 (to 2 decimals).

Homework Answers

Answer #1

a) = 12 , sample size n = 60
Standard error = / = `12/(60)^0.5 = 1.55

b) For Population size N= 50,000
Standard error of the mean = ? [ (N-n)/(N-1)] = 1.54919 * (( 50000 - 60)/(50000 -1))0.5 = 1.55

c) b) For Population size N= 5,000
Standard error of the mean =s ? [ (N-n)/(N-1)] = 1.54919 * (( 5000 - 60)/(5000 -1))0.5 = 1.54

d) b) For Population size N= 500
Standard error of the mean =s ? [ (N-n)/(N-1)] = 1.54919 * (( 500 - 60)/(500 -1))0.5 = 1.45

Best of Luck. God Bless

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
Suppose a random sample of size 58 is selected from a population with δ = 12....
Suppose a random sample of size 58 is selected from a population with δ = 12. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate). The population size is infinite (to 2 decimals). The population size is N = 50,000 (to 2 decimals). The population size is N = 5,000 (to 2 decimals). The population size is N = 500 (to 2 decimals).
Suppose a random sample of size 45 is selected from a population with sigma= 12. Find...
Suppose a random sample of size 45 is selected from a population with sigma= 12. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate). a. The population size is infinite (to 2 decimals). b. The population size is N = 50,000 (to 2 decimals). c. The population size is N = 5000 (to 2 decimals). d. The population size is N = 500 (to 2...
Suppose a random sample of size 50 is selected from a population with σ = 12....
Suppose a random sample of size 50 is selected from a population with σ = 12. Find the value of the standard error of the mean in each of the following cases. (Use the finite population correction factor if appropriate. Round your answers to two decimal places.) (a) The population size is infinite. (b) The population size is N = 50,000. (c) The population size is N = 5,000. (d) The population size is N = 500.
Suppose a random sample of size 49 is selected from a population with standard deviation =...
Suppose a random sample of size 49 is selected from a population with standard deviation = 8. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate). a. The population size is infinite (to 2 decimals). b. The population size is N = 50,000 (to 2 decimals). c. The population size is N = 5000 (to 2 decimals). d. The population size is N = 500...
Suppose a random sample of size 55 is selected from a population with σ = 9....
Suppose a random sample of size 55 is selected from a population with σ = 9. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate). a. The population size is infinite (to 2 decimals). b. The population size is N = 50,000 (to 2 decimals). c. The population size is N = 5000 (to 2 decimals). d. The population size is N = 500 (to...
A random sample of size n = 52 is taken from a finite population of size...
A random sample of size n = 52 is taken from a finite population of size N = 515 with mean μ = 253 and variance σ2 = 398. [You may find it useful to reference the z table.] a-1. Is it necessary to apply the finite population correction factor? Yes No a-2. Calculate the expected value and the standard error of the sample mean.(Round “expected value” to a whole number and "standard error" to 4 decimal places.)
A random sample of size n = 186 is taken from a population of size N...
A random sample of size n = 186 is taken from a population of size N = 5,613 with mean μ = −65 and variance σ2 = 183. [You may find it useful to reference the z table.] a-1. Is it necessary to apply the finite population correction factor? Yes No a-2. Calculate the expected value and the standard error of the sample mean. (Negative values should be indicated by a minus sign. Round "standard error" to 2 decimal places.)...
A random sample of size n = 101 is taken from a population of size N...
A random sample of size n = 101 is taken from a population of size N = 2,719 with a population proportion of p = 0.67. [You may find it useful to reference the z table.] a-1. Is it necessary to apply the finite population correction factor? Yes No a-2. Calculate the expected value and the standard error of the sample proportion. (Round "expected value" to 2 decimal places and "standard error" to 4 decimal places.) b. What is the...
A random sample of size n = 241 is taken from a population of size N...
A random sample of size n = 241 is taken from a population of size N = 5,588 with mean μ = −68 and variance σ2 = 183. [You may find it useful to reference the z table.] a-1. Is it necessary to apply the finite population correction factor? Yes No a-2. Calculate the expected value and the standard error of the sample mean. (Negative values should be indicated by a minus sign. Round "standard error" to 2 decimal places.)...
a random sample of size n=73 is taken from a population of size n=749 with a...
a random sample of size n=73 is taken from a population of size n=749 with a population proportion p=0.59. a-1. is it necessary to apply the finite population correction factor? a-2. calculate the 1.expected value and the 2.standard error of the sampling proportion. b. What is the probability that the sampling proportion is less than 0.51?