• 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

STAT 100 introduces the basic concepts of statistical reasoning and modern computer based techniques for organizing and interpreting data. Students will learn how to summarize data, how to interpret variability in data in terms of probability, and how to apply statistical methods to examples. Real world applications from the social, behavioral and biological sciences are used to illustrate the usefulness of statistical techniques. The MINITAB software package is used throughout the course, providing powerful and easy to use tools for statistical analysis. Computer exercises involving data reduction, graphics, simulation and statistical analysis will be assigned throughout the semester.

Prerequisites

Permission of Mathematics Department based on satisfactory score in Math Placement Exam, or MATH 110 or higher. Not open to students who have completed MATH 111 or any who have completed MATH or STAT course with a prerequisite of MATH 141. 

Topics

Populations, samples and data description; MINITAB for data analysis.

Summarize the distribution of a variable and summarize the relationship between two variables.

Discrete probability, axioms.

Random variables, expected value, variance, standard deviation.

Binomial and normal probability laws.

Statistics and sampling distributions, behavior of averages, central limit theorem.

Estimating means, variances and proportions in large samples, hypothesis testing, confidence limits.

Inference in small samples, Student's t distribution.

Comparing means: paired comparisons, two independent samples, analyze bivariate data.

 

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