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Academic Catalog 2025-26

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Your search for courses · during 25FA, 26WI, 26SP · taught by ekurtz · returned 2 results

  • STAT 120 Introduction to Statistics 6 credits

    Introduction to statistics and data analysis. Practical aspects of statistics will be emphasized, including extensive use of programming in the statistical software R, interpretation and communication of results. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, the normal distribution, randomization approach to inference, sampling distributions, estimation, and hypothesis testing. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 Probability/Statistical Inference sequence.

    Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250

    • Fall 2025, Winter 2026, Spring 2026
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Not open to students that have taken PSYC 200 , PSYC 201, SOAN 239 or STAT 250.

    • CL: 100 level DGAH Skill Building ENTS Quantitative Methods SDSC Core Statistics
    • STAT  120.01 Fall 2025

    • Faculty:Emily Kurtz 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 9:50am-11:00am
    • FCMC 102 9:40am-10:40am
    • STAT  120.02 Fall 2025

    • Faculty:Emily Kurtz 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 11:10am-12:20pm
    • FCMC 102 12:00pm-1:00pm
    • STAT  120.01 Winter 2026

    • Faculty:Emily Kurtz 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 9:50am-11:00am
    • FCMC 102 9:40am-10:40am
    • STAT  120.02 Winter 2026

    • Faculty:Emily Kurtz 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 12:30pm-1:40pm
    • FCMC 102 1:10pm-2:10pm
    • STAT  120.01 Spring 2026

    • Faculty:Emily Kurtz 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 9:50am-11:00am
    • FCMC 102 9:40am-10:40am
  • STAT 220 Introduction to Data Science 6 credits

    This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling,Β data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, an introduction to classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.

    • Spring 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.

    • CL: 200 level DGAH Skill Building SDSC Core Statistics STAT Elective
    • STAT  220.01 Spring 2026

    • Faculty:Emily Kurtz 🏫 πŸ‘€
    • Size:30
    • M, WCMC 102 12:30pm-1:40pm
    • FCMC 102 1:10pm-2:10pm

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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 10 September 2025
Carleton

One North College StNorthfield, MN 55057USA

507-222-4000

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