• James Owings and Adam Kleppner

    The mathematics department mourns the recent passing of two of our Professors Emerti: Jim Owings and Adam Kleppner. James Claggett Owings, Jr. received his PhD in recursion theory at Cornell in 1966, under the direction of Gerald Sacks.  For many years, Jim was one of the leaders of the Maryland Read More
  • Network of Minorities in Mathematical Sciences Honoree

    Congratulations to our alumna Kimberly Sellers, Mathematics BS 1994, MA 1998, for being recognized for her professional achievements as a 2018 Honoree by the Network of Minorities in Mathematical Sciences. Read more about her here.  Read More
  • Upcoming Conferences

    We would like to draw your attention to several exciting conferences coming up in the Mathematics Department: February Fourier Talks - Thursday, February 15 - Friday, February 16, 2018 Geometry Week - Monday, March 12 - Friday, March 16, 2018 Spring Dynamics Conference - Wednesday, April 4 - Sunday, April 8, 2018 Read More
  • Two Math Faculty to Speak at ICM

    Congratulations to faculty members Pierre-Emmanuel Jabin and Xuhua He who have been selected as invited speakers at the International Congress of Mathematics in Rio de Janeiro in 2018.   P.-E. Jabin is speaking in the areas of Partial Differential Equations (section 10) and Mathematics in Science and Technology (section 17).  X. Read More
  • Promotions and New Faculty

    We hired four assistant professors, three effective summer of 2017 and one effective summer of 2018.  One of them is Tamas Darvas, who has already been here for a while as a research associate.  The second is Lise-Marie Imbert-Gérard, coming from the Courant Institute at NYU.  The third is Rodrigo Trevino, who is 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, conditional probability, independence.
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.
Categorical data: frequency tables, chi-squared tests for goodness of fit, homogeneity and independence.

  • 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