Search Results
Your search for courses · during 26WI · tagged with SDSC Math Stats Elective · returned 3 results
-
MATH 240 Probability 6 credits
Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.
- Winter 2026
- FSR, Formal or Statistical Reasoning
-
Student has completed any of the following course(s): MATH 120 or MATH 211 or greater with a grade of C- or better or received a Carleton MATH 211 or better Requisite Equivalency or equivalent.
-
STAT 250 Introduction to Statistical Inference 6 credits
Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.
- Winter 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
-
Student has completed any of the following course(s): MATH 240 with a grade of C- or better.
-
STAT 260 Introduction to Sampling Techniques 6 credits
Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like two-phase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chi-square tests.
- Winter 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
-
Student has completed any of the following course(s): STAT 120 or STAT 230, or STAT 250 with a grade of C- or better.