BZAN1135

Statistical Analysis

This course provides an introduction to statistics with a focus on the analytical tools that are applicable to management practice and decision making. Statistical topics include descriptive statistics, probability, random variables, sampling distributions, estimation of parameters, hypothesis testing, and regression. Data handling and management skills are developed through extensive use of modern statistical programming tools and real data sets. Students will gain an understanding of statistical methods, the ability to formulate business questions as statistical models to test, and critical thinking skills to evaluate the results of those models.

Course overview

Department
Business Analytics
School
CSOM
Credits
3

Requirements fulfilled

  • Carroll School Core: Statistical Analysis (Classes of 2025–2029)
  • University Core: Mathematics (All undergraduates)

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Official evaluation summary

3.93 / 5

Based on 2,139 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

  • Bryce Mclaughlin
    Fall 2026
  • Linda Boardman Liu
    Fall 2026, Spring 2026, Fall 2025, Spring 2025, Fall 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021 · Official rating 4.21/5
  • Robert H Smith
    Fall 2026
  • Temp Temp
    Fall 2026
  • Xiaohong Pan
    Fall 2026, Fall 2025, Fall 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021 · Official rating 4.07/5
  • Benjamin Nuzzo
    Fall 2021 · Official rating 2.74/5
  • Isil Alev
    Fall 2022 · Official rating 3.52/5
  • Lai Wei
    Fall 2025, Fall 2024, Spring 2024, Spring 2023, Spring 2022 · Official rating 4.53/5
  • Stephanie Jernigan
    Fall 2023, Fall 2021 · Official rating 4.14/5
  • Tolga Dizdarer
    Spring 2026, Spring 2025, Spring 2024 · Official rating 4.62/5
  • Daniel Chen
    Spring 2026 · Official rating 3.98/5

Sections

  • Section 01
    Fall 2026 · Linda Boardman Liu · Fulton Hall 220 TuTh 09:00AM-10:15AM · Offered
  • Section 02
    Fall 2026 · Linda Boardman Liu · Fulton Hall 220 TuTh 10:30AM-11:45AM · Offered
  • Section 03
    Fall 2026 · Linda Boardman Liu · Fulton Hall 220 TuTh 12:00 Noon-01:15PM · Offered
  • Section 04
    Fall 2026 · Xiaohong Pan · Fulton Hall 220 MW 10:30AM-11:45AM · Offered
  • Section 06
    Fall 2026 · Robert H Smith · Fulton Hall 220 MW 12:00 Noon-01:15PM · Offered
  • Section 07
    Fall 2026 · Robert H Smith · Fulton Hall 220 MW 01:30PM-02:45PM · Offered
  • Section 08
    Fall 2026 · Robert H Smith · Fulton Hall 220 MW 03:00PM-04:15PM · Offered
  • Section 09
    Fall 2026 · Bryce Mclaughlin · Fulton Hall 220 TuTh 01:30PM-02:45PM · Offered
  • Section 10
    Fall 2026 · Bryce Mclaughlin · Fulton Hall 220 TuTh 03:00PM-04:15PM · Offered
  • Section 11
    Fall 2026 · Temp Temp · Fulton Hall 150 F 10:00AM-10:50AM · Offered
  • Section 12
    Fall 2026 · Temp Temp · Fulton Hall 150 F 11:00AM-11:50AM · Offered
  • Section 13
    Fall 2026 · Temp Temp · Fulton Hall 150 F 12:00 Noon-12:50PM · Offered
  • Section 14
    Fall 2026 · Temp Temp · Fulton Hall 150 F 01:00PM-01:50PM · Offered
  • Section 15
    Fall 2026 · Temp Temp · Fulton Hall 245 Th 06:00PM-06:50PM · Offered