UsefulLinks
Statistics
Statistical Inference
1. Foundations of Statistical Inference
2. Sampling and Sampling Distributions
3. Point Estimation
4. Interval Estimation and Confidence Intervals
5. Hypothesis Testing Framework
6. One-Sample Parametric Tests
7. Two-Sample Parametric Tests
8. Categorical Data Analysis
9. Analysis of Variance (ANOVA)
10. Simple Linear Regression Inference
11. Introduction to Bayesian Inference
12. Non-parametric Methods
6.
One-Sample Parametric Tests
6.1.
Tests for Population Mean
6.1.1.
One-Sample Z-Test
6.1.1.1.
Assumptions and Conditions
6.1.1.2.
Test Statistic and Distribution
6.1.1.3.
Procedure and Examples
6.1.1.4.
When Population Variance is Known
6.1.2.
One-Sample t-Test
6.1.2.1.
Assumptions and Conditions
6.1.2.2.
Test Statistic and Distribution
6.1.2.3.
Degrees of Freedom
6.1.2.4.
Robustness to Assumptions
6.1.2.5.
Procedure and Examples
6.2.
Tests for Population Proportion
6.2.1.
Large-Sample Z-Test for Proportion
6.2.1.1.
Assumptions and Conditions
6.2.1.2.
Normal Approximation
6.2.1.3.
Continuity Correction
6.2.1.4.
Test Statistic and Procedure
6.2.2.
Exact Binomial Test
6.2.2.1.
When to Use
6.2.2.2.
Calculation of P-values
6.2.2.3.
Small Sample Considerations
6.3.
Tests for Population Variance
6.3.1.
Chi-Squared Test for Variance
6.3.1.1.
Assumptions and Conditions
6.3.1.2.
Test Statistic and Distribution
6.3.1.3.
Sensitivity to Normality
6.3.1.4.
Procedure and Examples
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5. Hypothesis Testing Framework
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7. Two-Sample Parametric Tests