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Academic Catalog 2025-26

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Your search for courses · during 2023-24 · tagged with STAT Core · 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.

    • Fall 2023, Winter 2024
    • Formal or Statistical Reasoning
    • Mathematics 120 or Mathematics 211

    • Math Electives Math Applied ENTS Quantitative Methods Statistics Required Core
    • MATH  240.01 Fall 2023

    • Faculty:Adam Loy 🏫 👤
    • Size:30
    • M, WCMC 306 8:30am-9:40am
    • FCMC 306 8:30am-9:30am
    • MATH  240.02 Fall 2023

    • Faculty:Adam Loy 🏫 👤
    • Size:30
    • M, WCMC 306 9:50am-11:00am
    • FCMC 306 9:40am-10:40am
    • MATH  240.00 Winter 2024

    • Faculty:Katie St. Clair 🏫 👤
    • Size:30
    • M, WCMC 306 8:30am-9:40am
    • FCMC 306 8:30am-9:30am
  • STAT 230 Applied Regression Analysis 6 credits

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data.

    • Fall 2023, Winter 2024, Spring 2024
    • Formal or Statistical Reasoning Quantitative Reasoning Encounter
    • Statistics 120, Statistics 250, Psychology 200, or AP Statistics Exam score of 4 or 5.

    • ENTS Quantitative Methods Statistics Required Core
    • STAT  230.00 Fall 2023

    • Faculty:Claire Kelling 🏫 👤
    • Size:28
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
    • STAT  230.00 Winter 2024

    • Faculty:Adam Loy 🏫 👤
    • Size:28
    • M, WCMC 306 1:50pm-3:00pm
    • FCMC 306 2:20pm-3:20pm
    • STAT  230.00 Spring 2024

    • Faculty:Andy Poppick 🏫 👤
    • Size:28
    • M, WCMC 102 9:50am-11:00am
    • FCMC 102 9:40am-10:40am
    • Sophomore priority

  • 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 2024, Spring 2024
    • Formal or Statistical Reasoning Quantitative Reasoning Encounter
    • Mathematics 240 Probability

    • Dig Arts & Hum Skill Building Math Electives Math Applied ENTS Quantitative Methods Statistics Required Core
    • STAT  250.00 Winter 2024

    • Faculty:Andy Poppick 🏫 👤
    • Size:28
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
    • STAT  250.00 Spring 2024

    • Faculty:Katie St. Clair 🏫 👤
    • Size:28
    • M, WCMC 306 9:50am-11:00am
    • FCMC 306 9:40am-10:40am

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 28 January 2026
Carleton

One North College StNorthfield, MN 55057USA

507-222-4000

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