May 11, 2024  
2020-2021 UMaine Undergraduate Catalog 
    
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2020-2021 UMaine Undergraduate Catalog [ARCHIVED CATALOG]

Course Descriptions

 

Statistics
  

  • STS 215 - Introduction to Statistics for Business and Economics

    For students in the Maine Business School and for others concentrating in business or economics. A limited introduction to probability theory leading to discussion of distributions of random variables, in particular the normal and binomial families; a brief treatment of descriptive methods; an introduction to inferential statistics, including one- and two-sample procedures for estimation of parameters and for hypothesis testing; fundamentals of regression analysis or contingency table analysis or contingency table analysis as time permits. 

    Due to overlapping content, course repeat rules are applicable for STS 215 and STS 232.

    General Education Requirements:  Quantitative Literacy

    Course Typically Offered: Fall and Spring

    Credits: 3
  

  • STS 232 - Principles of Statistical Inference

    Intended for students who will use statistics as an aid to the comprehension of quantitative work done by others and for students who will follow this course by an intermediate level applied statistics course. An introduction to the language and methods of statistical analysis, probability, graphic and numeric descriptive methods and inference from sample data. 

    Due to overlapping content, course repeat rules are applicable for STS 215 and STS 232.

    General Education Requirements:  Quantitative Literacy

    Prerequisites: Two years of high school math required.

    Course Typically Offered: Fall, Spring, Summer

    Credits: 3
  

  • STS 332 - Statistics for Engineers

    Statistical methods applicable to engineering including theory and application of classical and nonparametric methods.

    Prerequisites: A grade of C or better in MAT 228.

    Course Typically Offered: Fall & Spring

    Credits: 3
  

  • STS 434 - Introduction to Statistics

    Topics include probability, random variables, continuous and discrete distributions, point and interval estimation, tests of hypotheses, linear regression and correlation, analysis of variance.

    Prerequisites: A grade of C or better in MAT 228.

    Course Typically Offered: Fall & Spring

    Credits: 4
  

  • STS 435 - Introduction to Mathematical Statistics

    Topics include moment generating functions, distribution of functions of random variables, sampling distributions, principles of estimation and hypothesis testing, limit theorems and order statistics.

    Prerequisites: A grade of C or better in STS 434.

    Course Typically Offered: Spring

    Credits: 3
  

  • STS 436 - Nonparametric Statistics

    Surveys nonparametric alternatives to standard parametric techniques. Emphasis on situations in which the use of a parametric technique is incorrect or, at best, marginal.

    Prerequisites: A grade of C or better in STS 434 or STS 437.

    Course Typically Offered: Spring, Odd Years

    Credits: 3
  

  • STS 437 - Statistical Methods in Research

    An introduction to analysis of variance and regression analysis using a unifying approach to theory; application and illustrations from many fields.

    Prerequisites: A grade of C or better in STS 232 or STS 434 or Department permission.

    Course Typically Offered: Fall

    Credits: 3