Question

Many realistic application involve sampling without replacement. For example, in manufacturing, quality control inspectors sample items from a finite production run without replacement. For such a finite population. we have to adjust the value of sigma(X bar). Take (without replacement) samples of size 2 from the above population of N= 5 objects {1, 2, 3, 4, 5) a. How many such samples are possibleb. List all the Xs, i.e. the means of all these samples of size 2c. Find the mean of these means, i.e. E(X)d. Is E(X)=Mu?e. Find the standard error sigma(X), i.e. the std deviation of all these meansf. Show that the standard error equals Note: is called the finite population correction factor. Typically it is used when the sample size n is greater than 5% of the finite population size.

Answer 1

Answer:

a. possible sample size is 10

b. mean is 3

c standard deviation is 0.9

Step-by-step explanation:

Mean of any given set of numbers is the "average" you're used to, where you add up all the numbers and then divide by the number of numbers.

Standard deviation is a measure of the amount of variation or dispersion of a set of values.

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