MATH 1281 - Statistical Inference
Syllabus
- Foundations for Inference & Introduction to Jeffrey’s Amazing Statistics Program (JASP)
- Hypothesis Testing and Inference for categorical data
- Testing for goodness of fit and Independence
- Inference for numerical data
- Power Calculations and ANOVA
- Introduction to Linear Regression
- Linear Regression Inference and multiple regression
- Logistic Regression
Resources
| Task |
Number |
Percentage of Final Grade |
Per Item |
| Discussions |
8 |
15% |
1.875% |
| Assignments |
8 |
45% |
5.625% |
| Graded Quiz |
2 |
20% |
10% |
| Final Exam |
1 |
20% |
20% |
Objectives
- Define different methods for statistical inference: point estimation, confidence intervals, and hypothesis testing.
- Recognize and use models for describing relations between measurements.
- Apply and interpret the outcomes of statistical inference.
- Explain the assumptions behind various procedures for inference.
- Apply JASP to summarize data numerically and visually, and to carry out statistical analysis.