Statistics

6.

Sampling Distributions

6.1.

The Concept of a Sampling Distribution

6.1.1.

Importance in Inference

6.1.2.

Relationship to Population Distribution

6.2.

Sampling Distribution of the Mean

6.2.1.

Mean of Sampling Distribution

6.2.2.

Standard Error of the Mean

6.2.3.

Effects of Sample Size

6.2.4.

Shape of Distribution

6.2.5.

Central Limit Theorem Applications

6.3.

Sampling Distribution of the Proportion

6.3.1.

Mean of Sampling Distribution

6.3.2.

Standard Error of the Proportion

6.3.3.

Normal Approximation

6.3.4.

Conditions for Normality

6.4.

Sampling Distribution of the Variance

6.4.1.

Chi-Square Distribution

6.4.2.

Degrees of Freedom

6.5.

Sampling Distribution of the Difference Between Means

6.5.1.

Independent Samples

6.5.2.

6.5.3.

Distribution Shape

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7. Inferential Statistics: Estimation