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Statistics Minor

Discover the power of statistics to interpret data and solve problems, and prepare for a world of opportunities.

In a world that’s drowning in data, the ability to understand and interpret numbers has never been more valuable. A minor in Statistics from UND gives you the tools to analyze data and help solve problems in fields as diverse as agriculture, baseball and politics.

Program type:
Minor
Format:
On Campus or Online
Est. time to complete:
2 years
Credit hours:
21-22

Why minor in statistics?

Studying statistics teaches you to understand and interpret information. And with more data available than ever before, demand for professionals with statistical skills is high and rising.

UND offers two paths to the minor in Statistics:

  • Plan A, which requires three semesters of calculus as a prerequisite
  • Plan B, which requires Applied Calculus I as a prerequisite

Whichever track you choose, you'll learn to analyze data, design experiments and solve real-world problems.

The minor in Statistics is a great choice for students majoring in just about any field. Popular choices include engineering, psychology, biology and education.

Statistics at UND

  • Enjoy small, discussion-based classes.

  • Learn from experienced faculty.

  • Hear from experts in the field through our visiting speaker series.

Statistics Minor Courses

BIOL 470. Biostatistics. 4 Credits.

Analysis of biological data. Covers descriptive statistics, inferential statistics (e.g., t-tests, goodness-of-fit tests, regression, ANOVA and non-parametric tests), and interpreting and presenting statistical results. S.

PSYC 541. Advanced Univariate Statistics. 3 Credits.

Theory of univariate statistics; application to quantitative data in psychology. Prerequisite: Graduate standing, college algebra, and elementary statisitcs.

PSYC 543. Experimental Design. 3 Credits.

Application of statistics and probability theory to the design and analysis of experiments. Prerequisite: PSYC 541 or consent of instructor.

ECON 210. Introduction to Business and Economic Statistics. 3 Credits.

Descriptive statistics; probability; discrete and continuous probability distributions; sampling distributions; estimation and hypothesis testing of common parameters; analysis of variance; correlation; linear regression. Prerequisite: MATH 103 or MATH 146 or MATH 165 or MATH 166. F,S,SS.

MATH 321. Applied Statistical Methods. 3 Credits.

Introductory statistics for students with a background in single-variable calculus. Topics include descriptive statistics, continuous and discrete probability density functions, sampling distributions, point and interval estimation, and tests of hypotheses. Prerequisite: MATH 166. F,S.

MATH 421. Statistical Theory I. 3 Credits.

Discrete and continuous random variables, expectation, moments, moment generating functions, properties of special distributions, introduction to hypothesis testing, sampling distributions, Central Limit Theorem, curve of regression, correlation, empirical regression by least squares, maximum likelihood estimation, Neyman-Pearson lemma, likelihood ratio test, power function, chi-square tests, change of variable, "t" and "F" tests, one and two-way ANOVA, nonparametric methods. Prerequisite: MATH 265. F.

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