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    Four undergraduates in the University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) have been awarded 2025 scholarships by the Barry Goldwater Scholarship and Excellence in Education Foundation, which encourages students to pursue advanced study and research careers in the sciences, engineering and mathematics.  Over the last 16 years, UMD’s nominations Read More
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    Congratulations to our colleagues who won the 2025 Frontiers of Science Award: - Dan Cristofaro-Gardiner, for his join paper with Humbler and Seyfaddini: “Proof of the simplicity conjecture”, Annals of Mathematics 2024. - Dima Dolgopyat & Adam Kanigowski, for their joint paper with Federico Rodriguez Hertz: “Exponential mixing implies Bernoulli”, Annals of Mathematics Read More
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    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
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Description

STAT 430 will introduce modern techniques of computational statistics for practical analysis of data. The course will utilize the SAS software system, which is widely used both in statistical applications and in corporate data management applications. Data analysis and interpretation will be emphasized, rather than statistical theory. At every point in the course real world data sets will be used to illustrate statistical principles.

For undergraduates in mathematics or computer science seeking statistical employment after graduation, SAS is a valuable job credential. For graduate students in fields which use statistics heavily, such as agriculture, life science, education, engineering or social science, SAS is a powerful aid to research.  Graduate students who have successfully taken an applied statistics course in their own department should have no difficulty with STAT 430.

Prerequisites

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

co-requisite starting Spring 2023 1 course with a minimum grade of C- from (STAT401, STAT420).


Level of Rigor

Standard


Sample Textbooks

Applied Statistics and the SAS Programming Language, by R.P. Cody and J.K. Smith

The Little SAS Book: A Primer, by L. Delwiche & S. Slaughter


Applications



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



Additional Notes

Students interested in grad school in STAT should consider this course 

Topics

Brief review of statistical concepts

Descriptive statistics

Points estimators

Confidence intervals

Hypothesis testing

Introduction to the SAS software system

Data screening

Data summaries and graphics

Creating and manipulating data sets

Merging, sorting and splitting data sets

Least squares and fitting models

Straight line fits

Graphical tools for model criticism

Multiple predictors

Categorical predictors and analysis of variance

Categorical data

Frequency tables

Logistic regression

Models for count data

Simulation

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