• Brin E-Nnovate Chaired Professor Michael Rapoport Colloquium talk in September

    Brin E-Nnovate Chaired Professor Michael Rapoport will deliver a Colloquium talk on September 26: "Scholze's Fields Medal''. Michael Rapoport is the former adviser of Peter Scholze and will share his insights on the personality and remarkable mathematical results of his former student. Read More
  • Congratulations to Yanir A. Rubinstein's professor promotion

    The University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) announced the promotion of 14 tenured/tenure-track faculty members, effective July 1, 2018. Yanir A. Rubinstein, mathematics, joined CMNS in 2012. Rubinstein works on problems in mathematical analysis and partial differential equations, as well as differential geometry, algebraic geometry Read More
  • The Canadian Journal of Statistics Award 2018, to Victor de Oliveira and Benjamin Kedem

    The Canadian Journal of Statistics Award is presented each year by the Statistical Society of Canada to the author(s) of an article published in the journal, in recognition of the outstanding quality of the methodological innovation and presentation. This year’s winner is the article entitled “Bayesian analysis of a density ratio Read More
  • Outstanding Director of Graduate Studies Award

    Professor Konstantina Trivisa has been selected for the Outstanding Director of Graduate Studies (DGS) Award for 2018.  Directors of Graduate Studies are critical partners of the Graduate School in shaping graduate education and ensuring the success of graduate students.  The Outstanding Director of Graduate Studies Award recognizes exceptional contributions made Read More
  • Congratulations to Putnam Exam Participants

    Congratulations to our Putnam Exam participants. The University of Maryland Putnam Team was ranked 15th among the 575 competing institutions in the highly competitive Putnam mathematics exam on December 2, 2017. Congratulations to Aaron George, who ranked 39th and Erik Metz who ranked 81st, and to Jason Zou, Justin Hontz 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 MATH 115. 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.
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 and see if a linear model is appropriate.

Categorical data: frequency tables, chi-squared tests for goodness of fit.

  • William E. Kirwan Hall, home of the Mathematics Department

    William E. Kirwan Hall, home of the Mathematics Department

  • The Experimental Geometry Lab explores the structure of low dimensional space

    The Experimental Geometry Lab explores the structure of low dimensional space

  • Maryland mathematicians help to investigate the inner workings of E_8

    Maryland mathematicians help to investigate the inner workings of E_8

  • Hyperbolic Space Tiled with Dodecahedra

    Hyperbolic Space Tiled with Dodecahedra

  • Isotropoic Gaussian random field with Matern correlation

    Isotropoic Gaussian random field with Matern correlation

  • Part of the proof of the Peter-Weyl theorem

    Part of the proof of the Peter-Weyl theorem