MATH4427

Mathematical Statistics

Topics studied include the following: sampling distributions, parametric point and interval estimation, hypothesis testing, goodness-of-fit, and parametric and nonparametric two-sample analysis. Applications to real data will be stressed, and the computer will be used to explore concepts and analyze data.

Course overview

Department
Mathematics
School
MCAS
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.31 / 5

Based on 214 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Jamison B Wolf
    Fall 2026
  • Chi-Keung Cheung
    Fall 2025, Fall 2024, Fall 2023, Fall 2022, Fall 2021 · Official rating 4.51/5
  • Jamison Wolf
    Spring 2026, Spring 2025, Spring 2024, Spring 2023, Spring 2022 · Official rating 4.14/5

Sections

  • Section 01
    Fall 2026 · Jamison B Wolf · Fulton Hall 230 MWF 02:00PM-02:50PM · Offered