Sampling Distributions

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9 Terms

1

Population of Interest (POI)

The collection of all individuals/objects that possess the variable of interest.

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2

Parameter

A numerical summary of a variable’s distribution in the POI

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3

Simple Random Sample (SRS) of size = n

is a sample chosen in such a way that:

a) every individual in the population has an equal probability of making it into the chosen sample

b) every sample of a given size n has an equal probability of actually being the sample chosen

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4

Repeated Sampling

The abstract process of creating all possible SRS’s of a given size from a given POI

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5

Statistic (of choice)

A numerical summary of a variable’s distribution in a given sample. Such as X= a sample count, p-hat=sample proportion and x-bar= a sample mean

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6

Random Variable

A variable that counts numerical outcomes of a random phenomenon. Namely reduces the sample space into a count.

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7

Sampling Distribution of a Statistic

is the distribution of all possible values of a statistic from all possible SRS’s of a given size = n

Examples include:

a. Sampling distribution of a sample count, X.

b. Sampling distribution of a sample proportion, p-hat.

c. Sampling distribution of a sample mean, x-bar

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8

The Golden Axiom

States that the center of a sampling distribution is the corresponding parameter, regardless of sample size.

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9

Sampling Variability

The variability of a statistic from all SRS's from a given POI in repeated sampling. A statistic varies from SRS to SRS for given samples of size n

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