Requirements Page:

Semester Credits Required

Total credits in the minor: 12

Prerequisites

STAT 100: Introduction to Statistics or STAT 250: Applied Stat:Sci Tech or MATH 320: Probability & Statistics

Outcomes, Courses and Assessment

Statistics Minor Learning Outcomes (LOs)

To qualify for the statistics minor, students must fulfill the following three learning outcomes.

Note: Courses in the minor cannot be double counted for the major.

LO #1: Statistics Foundations

Students must demonstrate a depth of statistical knowledge and apply their statistical knowledge to both theoretical and applied problems.

To demonstrate the required competency for LO#1, students must received a grade C or higher in one of the following two courses

STAT 320: Mathematical Statistics

MATH 320: Probability & Statistics

LO #2 Advanced Statistics Applications

Students must demonstrate the ability to apply advanced statistics principles and methods to solve problems from their field of study.

To demonstrate the required competency for LO#2, students must received a grade C or higher in one of the following courses.

STAT 395: Special Topics

PSY 301: Adv/Psychological Statistics & PSY 301L: Adv/Psychological Stat Lab

SBS 366: Rsrch Mthd for SBS:Quant Emph & SBS 366L: Rsrch Mthd SBS:Quan Emph Lab

ENVS 350: Quantitative Field Methds

ENVS 355: Environmental Monitoring

CHHS 385: Applied Statistics/Resrch Meth & CHHS 385L: Resrch Mthds Hlth/HumSvc Lab

-or-

any other upper division course (4 credits) that has a substantial statistical component with required approval of a Statistics Minor Program advisor

LO #3 Technology and Statistical Software

Students must be demonstrate the ability to analyze, compare and evaluate the appropriateness of technological tools and their uses in Statistics, and use statistical software to conduct investigations, make conjectures, and solve problems.

To demonstrate the required competency for LO#3, students must received a grade C or higher in
one of the following courses.

STAT 400: App Stat Meth:Regr Analys

ENVS 550: Research Methods