Statistics for Business

6.

Statistical Inference: Hypothesis Testing

6.1.

Fundamentals of Hypothesis Testing

6.1.1.

Null Hypothesis

6.1.2.

Alternative Hypothesis

6.1.3.

One-Tailed Tests

6.1.4.

Two-Tailed Tests

6.1.5.

6.1.6.

6.1.7.

Level of Significance

6.1.8.

Power of a Test

6.1.9.

Test Statistics

6.1.10.

P-Value Approach

6.1.10.1.

6.1.10.2.

6.1.10.3.

6.1.11.

Critical Value Approach

6.1.11.1.

Rejection Regions

6.1.11.2.

Non-Rejection Regions

6.1.11.3.

6.2.

One-Sample Tests

6.2.1.

Test for Population Mean

6.2.1.1.

Known Population Standard Deviation

6.2.1.2.

Unknown Population Standard Deviation

6.2.1.3.

Large Sample Tests

6.2.1.4.

Small Sample Tests

6.2.2.

Test for Population Proportion

6.2.2.1.

Large Sample Test

6.2.2.2.

6.2.2.3.

6.2.3.

Test for Population Variance

6.2.3.1.

Chi-Square Test

6.3.

Two-Sample Tests

6.3.1.

Comparing Two Population Means

6.3.1.1.

Independent Samples

6.3.1.1.1.

Equal Variances

6.3.1.1.2.

Unequal Variances

6.3.1.2.

Dependent Samples

6.3.1.2.1.

6.3.2.

Comparing Two Population Proportions

6.3.2.1.

Independent Samples

6.3.2.2.

6.3.3.

Comparing Two Population Variances

6.3.3.1.

6.3.3.2.

6.4.

Analysis of Variance

6.4.1.

6.4.1.1.

6.4.1.2.

6.4.1.3.

Between-Group Variation

6.4.1.4.

Within-Group Variation

6.4.2.

6.4.2.1.

6.4.2.2.

Interaction Effects

6.4.2.3.

6.4.3.

6.4.3.1.

6.4.3.2.

Bonferroni Correction

6.4.3.3.

6.5.

Chi-Square Tests

6.5.1.

Goodness-of-Fit Test

6.5.1.1.

6.5.1.2.

6.5.2.

Test for Independence

6.5.2.1.

Contingency Tables

6.5.2.2.

Expected Frequencies

6.5.2.3.

6.5.2.4.

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7. Regression Analysis