Techniques in statistical inference; confidence intervals, hypothesis tests, correlation and regression, analysis of variance, chi-square tests. Emphasis is placed on implementing statistical methods using JMP software and interpreting results.
This course has print-based exams that require a proctor. A Distance Proctor Form will be required. Electronic proctoring is not available for this.
MATH 117 (College Algebra in Context I) or MATH 118 (College Algebra in Context II) or MATH 124 (Logarithmic and Exponential Function) or MATH 125 (Numerical Trigonometry) or MATH 126 (Analytic Trigonometry) or MATH 141 (Calculus in Management Sciences) or MATH 155 (Calculus for Biological Scientists I) or MATH 160 (Calculus for Physical Scientists I). Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 311, STAT 315.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at email@example.com. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Textbook and Materials
Ben received his MS in statistics from Colorado State University, and joined the department as a full time instructor in 2013. When he has spare time, Ben likes to spend it writing, recording, and performing music.