Elizabeth Ajazi

Elizabeth Ajazi
  • Senior Lecturer in Statistics and Data Science
  • Co-Academic Director of the Dual Master's Degree in Statistics

Contact Information

  • office Address:

    Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Teaching

All Courses

  • STAT0002 - Intro To Stat & Data Sci

    Continuation of STAT 0001. In this course, we will learn basic statistical inference procedures of estimation, confidence intervals, and hypothesis testing. We will also cover statistical inference of bivariate data, including correlation and simple linear regression models. Prerequisite: STAT 0001 or equivalent coursework. Basic R knowledge.

  • STAT1020 - Intro Business Stat

    Continuation of STAT 1010 or STAT 1018. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Business applications.

  • STAT1110 - Introductory Statistics

    Introduction to concepts in probability. Basic statistical inference procedures of estimation, confidence intervals and hypothesis testing directed towards applications in science and medicine. The use of the JMP statistical package. Knowledge of high school algebra is required for this course.

  • STAT1120 - Introductory Statistics

    Further development of the material in STAT 1110, in particular the analysis of variance, multiple regression, non-parametric procedures and the analysis of categorical data. Data analysis via statistical packages. This course may be taken concurrently with the prerequisite with instructor permission.

Knowledge at Wharton

Judgment Is the New Bottleneck

Wharton's Matthew Bidwell speaks with Ritcha Ranjan, senior vice president of product at Expedia Group, on why building effective AI systems means designing for human judgment.…Read More

Knowledge @ Wharton - 5/7/2026
When AI Transparency Backfires

New research shows that AI and machine learning models can be made to look fair and neutral in their interpretability outputs while continuing to produce biased real-world decisions.…Read More

Knowledge @ Wharton - 5/5/2026
Five Things to Know About Private Credit

As investor withdrawals and liquidity concerns rattle the $1.8 trillion market, Wharton’s Itay Goldstein explains how private credit works, why experts are uneasy, and what it could mean for your finances.…Read More

Knowledge @ Wharton - 5/5/2026