Inference About Two Populations
It is often necessary to draw conclusion on the difference between two populations
by their data samples. In the following tutorials, we discuss how to estimate the
difference of means and proportions between two normally distributed data
populations.
R Tutorials
- R Introduction
- Elementary Statistics with R
- Qualitative Data
- Quantitative Data
- Numerical Measures
- Probability Distributions
- Interval Estimation
- Hypothesis Testing
- Lower Tail Test of Population Mean with Known Variance
- Upper Tail Test of Population Mean with Known Variance
- Two-Tailed Test of Population Mean with Known Variance
- Lower Tail Test of Population Mean with Unknown Variance
- Upper Tail Test of Population Mean with Unknown Variance
- Two-Tailed Test of Population Mean with Unknown Variance
- Lower Tail Test of Population Proportion
- Upper Tail Test of Population Proportion
- Two-Tailed Test of Population Proportion
- Type II Error
- Type II Error in Lower Tail Test of Population Mean with Known Variance
- Type II Error in Upper Tail Test of Population Mean with Known Variance
- Type II Error in Two-Tailed Test of Population Mean with Known Variance
- Type II Error in Lower Tail Test of Population Mean with Unknown Variance
- Type II Error in Upper Tail Test of Population Mean with Unknown Variance
- Type II Error in Two-Tailed Test of Population Mean with Unknown Variance
- Inference About Two Populations
- Goodness of Fit
- Analysis of Variance
- Non-parametric Methods
- Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- GPU Computing with R