Fall 2020

Intermediate Statistics

Listed in: Mathematics and Statistics, as STAT-230

Formerly listed as: MATH-18

Faculty

Shu-Min Liao (Sections 01 and 02)

Description

This course is an intermediate applied statistics course that builds on the statistical data analysis methods introduced in STAT 111/111E or STAT 135. Students will learn how to pose a statistical question, perform appropriate statistical analysis of the data, and properly interpret and communicate their results. Emphasis will be placed on the use of statistical software, data wrangling, model fitting, and assessment. Topics covered will include ethics, experimental design, resampling approaches, analysis of variance models, multiple regression, model selection, and logistic regression. No prior experience with statistical software is expected.

This course is expected to be a mixture of synchronous and asynchronous meetings, including small-group discussions and/or projects, which will foster community building. 

Requisite: STAT 111 or 135. Limited to 24 students. Four spots reserved for incoming first-year students in each Fall section. Fall and Spring semester. Professor Liao.

If Overenrolled: Priority for preregistered sophomores and STAT majors.

Cost: $175 ?

STAT 230 - L/D

Section 01
M 02:20 PM - 03:10 PM ONLI ONLI
W 02:20 PM - 03:10 PM ONLI ONLI
F 02:20 PM - 03:10 PM ONLI ONLI

STAT 230 - LEC

Section 02
M 03:50 PM - 04:40 PM ONLI ONLI
W 03:50 PM - 04:40 PM ONLI ONLI
F 03:50 PM - 04:40 PM ONLI ONLI

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

Section(s) ISBN Title Publisher Author(s) Comment Book Store Price
All STAT2: Modeling with Regression and ANOVA (2nd Edition) W. H. Freeman Cannon et al. Loose-leaf (9781319056971) and E-book (9781319067502) versions are also available to rent/buy for less than the hardcover version. TBD

Offerings

2024-25: Not offered
Other years: Offered in Spring 2008, Spring 2012, Fall 2013, Spring 2014, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022