Search Results
Your search for courses · during 2023-24 · taught by ckelling · returned 5 results
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STAT 120 Introduction to Statistics 6 credits
Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of the statistical software R, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 Probability/Statistical Inference sequence.
- Fall 2023, Winter 2024, Spring 2024
- Formal or Statistical Reasoning Quantitative Reasoning Encounter
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Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250
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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, data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, supervised and unsupervised classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.
- Fall 2023, Winter 2024, Spring 2024
- Formal or Statistical Reasoning Quantitative Reasoning Encounter
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Statistics 120, Statistics 230 or Statistics 250
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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
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Statistics 120, Statistics 250, Psychology 200, or AP Statistics Exam score of 4 or 5.
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STAT 310 Spatial Statistics 6 credits
Spatial data is becoming increasingly available in a wide range of disciplines, including social sciences such as political science and criminology, as well as natural sciences such as geosciences and ecology. This course will introduce methods for exploring and analyzing spatial data. Methods will be covered to describe and analyze three main types of spatial data: areal, point process, and point-referenced (geostatistical) data. The course will also extensively cover tools for working with spatial data in R. The goals are that by the end of the course, students will be able to read, explore, plot, and describe spatial data in R, determine appropriate methods for analyzing a given spatial dataset, and work with their own spatial dataset(s) in R and derive conclusions about an application through statistical inference.
- Spring 2024
- Formal or Statistical Reasoning Quantitative Reasoning Encounter
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Statistics 230 and Statistics 250
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STAT 400 Integrative Exercise 6 credits
Either a supervised small-group research project or an individual, independent reading. Required of all senior majors.
- Fall 2023, Winter 2024, Spring 2024
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Senior Statistics major. Students are strongly encouraged to complete Statistics 230 and Statistics 250 before starting this course