Search Results
Your search for courses · during 2023-24 · taught by apoppick · returned 5 results
-
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
-
Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250
-
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.
-
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
-
STAT 320 Time Series Analysis 6 credits
Models and methods for characterizing dependence in data that are ordered in time. Emphasis on univariate, quantitative data observed over evenly spaced intervals. Topics include perspectives from both the time domain (e.g., autoregressive and moving average models, and their extensions) and the frequency domain (e.g., periodogram smoothing and parametric models for the spectral density).
- Fall 2023
- Formal or Statistical Reasoning Quantitative Reasoning Encounter
-
Statistics 230 and 250. Exposure to matrix algebra may be helpful but is not required
-
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
-
Senior Statistics major. Students are strongly encouraged to complete Statistics 230 and Statistics 250 before starting this course