MATH 181AIntroduction to Mathematical Statistics I
Multivariate distribution, functions of random variables, distributions related to normal. Parameter estimation, method of moments, maximum likelihood. Estimator accuracy and confidence intervals. Hypothesis testing, type I and type II errors, power, one-sample t-test. Prior or concurrent enrollment in MATH 109 is highly recommended.
Prerequisites
From the catalog: “MATH 180A, and MATH 18 or MATH 20F or MATH 31AH, and MATH 20C. Students who have not completed listed prerequisites may enroll with consent of instructor.”
Where it sits in degree plans
Suggested plans most often put it in Year 3 · Winter (2 programs).
Required in (2)
- Probability and Statistics (B.S.)
- Public Health with Concentration in Biostatistics (B.S.)
One of the options in (6)
- Artificial Intelligence
- Business Psychology (B.S.)
- Clinical Psychology (B.S.)
- Computer Science (B.S.)
- Data Science (B.S.)
- Mathematics (Applied) (B.S.)
Courses that list MATH 181A as a prerequisite (20)
- CSE 150A Introduction to Artificial Intelligence: Probabilistic Reasoning and Decision-Making
- CSE 150B Introduction to Artificial Intelligence: Search and Reasoning
- CSE 151A Machine Learning: Learning Algorithms
- CSE 151B Deep Learning
- CSE 153 Machine Learning for Music
- CSE 153R Machine Learning for Music
- CSE 156 Statistical Natural Language Processing
- CSE 158 Recommender Systems and Web Mining
- CSE 158R Recommender Systems and Web Mining
- DSC 148 Introduction to Data Mining
- ECON 125 The Science of Population
- ECON 171 Decisions Under Uncertainty
- ECON 190 An Introduction to Research in Economics
- MATH 181B Introduction to Mathematical Statistics II
- MATH 181D Statistical Learning
- MATH 181F Sampling Surveys and Experimental Design
- MATH 185 Introduction to Computational Statistics
- MGT 151R Business Analytics
- MGT 153 Information Technology in Business Analytics
- MGT 160 Experiments in Firms