• 2024 Putnam Results

    We are very excited to report that our MAryland Putnam team ranked 7th among 477 institutions that participated in the 2024 Putnam math competition. Our team members this year were Daniel Yuan, Isaac Mammel, and Clarence Lam. Daniel Yuan ranked 26th among 3,988 participants. Clarence Lam and Isaac Mammel were recognized for… Read More

  • From Math Olympiads to Diplomacy: Meet Visiting Math Professor Qendrim Gashi

    Maryland Global, published a great interview with our visiting professor (and diplomat), Qendrim Gashi. The interview is available at https://marylandglobal.umd.edu/about/news/math-olympiads-diplomacy-meet-visiting-math-professor-qendrim-gashi Read More

  • Eugenia Brin, Longtime Supporter of Science and Performing Arts at UMD, Dies

    Eugenia Brin, a Russian immigrant and retired NASA scientist who, with her family of accomplished Terps, became an important benefactor of the University of Maryland, died on Dec. 3, 2024. She was 76 years old. The rest of the article can be read here: https://cmns.umd.edu/news-events/news/eugenia-brin-1948-2024 Read More

  • 2024 Michael Brin Dynamical Systems Prize for Young Mathematicians Awardees

    Math is excited to announce that Francisco Arana-Herrera has been awarded the 5th Michael Brin Dynamical Systems Prize for Young Mathematicians.  The prize was shared between Francisco and Rohil Prasad. Details about eh prize and previous winners can be found at  https://science.psu.edu/math/research/dynsys/dynamical-systems-prize-young-mathematicians Read More

  • UMD Launches Award to Recognize Dual Majors in Computer Science and Mathematics

    Starting Spring 2025, the Grant Family Outstanding Achievement Undergraduate Student Award will recognize graduating seniors excelling in both fields. Link to the article can be read here: https://www.cs.umd.edu/article/2024/11/umd-launches-award-recognize-dual-majors-computer-science-and-mathematics Read More
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Description

This is an introductory course in statistics teaching basic concepts and techniques and applications of these techniques to different fields.

Prerequisites

1 course with a minimum grade of C- from (STAT400, STAT410).


Level of Rigor

Standard


Sample Textbooks

Probability and Statistics for Engineering and the Sciences, by J. Devore


Applications

Computer Science (artificial Intelligence, pattern recognition, and neural networks)

Philosophy (epistemology, inference)

Economics (econometrics)

Business (optimal resource-allocation, routing and scheduling, inventory or portfolio management,  forecasting of macroeconomic and market conditions, statistical methods of quality control,  statistical methods of sampling and auditing)


If you like this course, you might also consider the following courses



Additional Notes

Topics

Refresher mini-course in probability

Basic distributions

Central limit theorem

Law of large numbers

Interval estimation in small and large samples

Hypothesis testing

Basic concepts

Testing for normal population

p-value

Analysis of variance

Models

Single and multifactor analysis

Interaction

Regression and correlation

Least squares method

Inference for regression parameters

Analysis of categorical data

Elements of nonparametric methods

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