Program type:


On Campus
Est. time to complete:

Credit Hours:

Learn how to interpret data and use numbers to identify problems and inform solutions with a minor in statistics.
UNT's statistics minor offers students a flexible way to explore how to collect and use data to inform research and discover lines of inquiry in thier field.

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Why Earn a Statistics Minor?

A minor in statistics can help students in STEM and Social Science fields discover how to organize and interpret data to inform research and decision making in their primary field of interest.

Statistics Minor Highlights

The math department funds several scholarships to help you pursue your education. Positions also are available as tutors and graders.
We host various conferences, seminars and colloquiums that provide different viewpoints and discuss research being conducted in math.
Students also have access to our mathematics library, which contains more than 500 mathematics journal subscriptions, most of which are available electronically.
The Math Lab offers you a quiet space to complete homework or receive assistance with specific problems. It’s staffed by students with strong math backgrounds.
According to the US Bureau of Labor Statistics, statistics is one of the top five most in-demand careers.
Many of our faculty members are internationally recognized experts in their fields and have worked as consultants for private companies and government agencies.

Statistics Minor Courses You Could Take

Applied Statistics (3 hrs)
Descriptive statistics, elements of probability, random variables, confidence intervals, hypothesis testing, regression, contingency tables.
Probability (3 hrs)
Combinatorial analysis, probability, conditional probability, independence, random variables, expectation, parameterized distributions, limit theorems, joint distributions, conditional distributions, and correlation.
Statistics (3 hrs)
Sampling distributions, point estimation, interval estimation, hypothesis testing, goodness of fit tests, regression and correlation, analysis of variance, and non-parametric methods.
Political Science Research Methods (3 hrs)
Emphasizes the conceptual and analytical tools necessary for conducting and understanding research in political science. Includes an introduction to statistical analysis and computer use.
Empirical Linear Modeling (3 hrs)
Develops the tools necessary to analyze, interpret and develop empirical applications of econometric estimation procedures. Exploration of an assortment of applied problems that are typically encountered in quantitative research with particular attention given to the examination of real-world, economic and other business-related phenomena. Particular attention is given to developing proficiency in the following four areas: organizing and manipulating data, estimating linear regression models, interpreting econometric results and computer output, and working with computer software.
Multivariable Calculus (3 hrs)
Vectors and analytic geometry in 3-space; partial and directional derivatives; extrema; double and triple integrals and applications; cylindrical and spherical coordinates.

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