• 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

  • Jonathan Poterjoy and Kayo Ide join new $6.6 million NOAA consortium

    Congratulations to AOSC's Jonathan Poterjoy and Kayo Ide (also of math and IPST) on joining a new NOAA consortium to improve the accuracy of weather forecasts.  Called CADRE, the $6.6 million initiative will focus on data assimilation, which uses observations to improve model predictions of natural systems, like Earth's atmosphere, over time.… Read More

  • Alfio Quarteroni receives the Blaise Pascal Medal in Mathematics

    Congratulations to Alfio Quarteroni for winning the 2024 Blaise Pascal Medal in Mathematics The message from the European Academy of Sciences reads: We are excited to announce that Professor Alfio Quarteroni has been awarded the esteemed 2024 Blaise Pascal Medal in Mathematics for his outstanding contributions to the field, particularly in… Read More
  • 1
  • 2
  • 3
  • 4
  • 5

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

  • 1
  • 2