Stat 106 - Advanced Statistical Analysis
Course Description
Regression and correlation analysis; non-parametric methods; experimental design; time series analysis.
Course Learning Outcomes
After completion of the course, the student should be able to:
- Demonstrate mastery of advanced statistical terms and concepts;
- Formulate steps in explaining phenomena and making decisions based on available data;
- Generate and present appropriate statistical analysis given statistical data; and
- Apply statistical procedures using software that are appropriate for different types of data.
Course Outline
UNIT 1. 1. Nonparametric Methods
- Introduction to Nonparametric Statistics
- Testing Hypotheses about a Single Population
- Testing Hypotheses about Two Populations
- Testing Hypotheses about Three or More Populations
- Choosing an Appropriate Test
UNIT 2. Regression and Correlation Analysis
- Simple Linear Regression
- Multiple Linear Regression
- Model Building
- Diagnostic Checking
- Remedial Measures
UNIT 3. Design and Analysis of Experiments
- Introduction to DOE
- Completely Randomized Design (CRD)
- Randomized Complete Block Design (RCBD)
- Other Designs
UNIT 4.Time Series Analysis
- Time Series Data
- Moving Average Processes
- Autoregressive Processes
- ARMA Processes