This course focuses on the critical approaches to Asia Pacific research development and evaluation of research design in Asia Pacific Studies, including applications of theory to research questions and developing proposal for research which will be drawn from a wide range of topics contained within: Asia Pacific world views and epistemologies, general research methodologies, and quantitative paradigms.
- Descriptive Statistics
- Basic Data Visualization
- Measure of Central Tendency
- Measure of Variability
- Probability of Normal Distribution
- Standardized Score (z Score)
- Basic Probability Questions with Normal Distribution
- Central Limit Theroem
- Sampling Distribution
- t Statistic and p-value
- Confidence Interval
- Hypothesis Testing (sigma is Known)
- Hypothesis Testing (sigma is not Known)
- Hypothesis Testing (Two Independent Samples)
- Hypothesis Testing (Two Related Samples)
- Simple Linear Regression Model
- Interpretation of the Estimated Parameters
- Evaluate the Estimated Parameters
- Evaluate the Overall Model Fit
- Multiple Linear Regression Model
The statistical software package we are using in this course is "R" and the Integrated Development Environment, IDEs, "R Studio". To install R, you can find visit the R-Project website and follow the instructions to install the software on your machine. Once R is installed on your machine, you can visit the RStudio website and follow the instructions to install the IDE on your machine. To start coding in R, we only need to start RStudio because it automatically runs the R software in the background and execute the code.
R for Data Science, by Hadley Wickham and Garrett Grolemund, https://r4ds.had.co.nz/index.html
Statistics for the Behavioral Sciences, 10th Edition by Frederick Gravetter and Larry Wallnau, Wadsworth
Copyright © 2020 Norman Lo