Chapter 7 - Probability and Samples Flashcards

1
Q

Distribution of Sample Means

A

The set of M’s for all the possible random samples for a specific sample size (n) that can be obtained from a specific population

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2
Q

Central Limit Theorem

A

The parameters of the distribution of sample means are 1.) Shape, 2.) Central Tendency, and 3.) Variability

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3
Q

Standard Error

A

How much error to expect if using a sample mean to represent a population mean

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4
Q

Sampling Distribution

A

A distribution of statistics obtained by selecting all the

possible samples of a specific size from a population

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5
Q

Expected Value of M

A

The mean of the distribution of sample means is equal to the mean of the population of scores.

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6
Q

Standard Error of M

A

A measure of how much distance is expected on average between the sample mean and the population mean.

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7
Q

Law of Large Numbers

A

The larger the sample size (n), the more probable it is that the sample mean will be close to the population mean

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