STAT 200

Fall 2024 Part of Term 1

Part of Term 1
Aug 26-Dec 11

Statistical Analysis

SHOW FINAL EXAM SCHEDULE

Credit: 3 hours.

Survey of statistical concepts, data analysis, designed and observational studies and statistical models. Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics. May be taken as a first statistics course for quantitatively oriented students, or as a second course to follow a basic concepts course.

Credit is not given for both STAT 200 and STAT 212.

This course satisfies the General Education Criteria in Fall 2022 for:

Quantitative Reasoning I

My Favorites

My Schedule

Section Status updates every 10 minutes.

STAT 200 class schedule data for fall 2024
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	51802	Lecture-Discussion	L1	12:30PM -1:50PM	TR	Sidney Lu Mech Engr Bldg	Clement, K	Part of Term: 1 Date Range: 08/26/24-12/11/24 Degree Notes: Quantitative Reasoning I course. Section Info: Statistics provides the tools to sort through data to make objective decisions. STAT 200 provides an accelerated introduction to the basic tools for quantitatively oriented students, with particular emphasis on understanding which tools are appropriate for which problems. This course will be taught in an active classroom environment, with students completing discovery-based activities and completing practice problems in the classroom, with most lecture material shifted to be homework outside of the class. We cover ideas of experimental design (including basics of causal inference from observations), basic probability, descriptive statistics, inference from samples (including null hypothesis significance tests), simulation-based inference, linear/multiple regression, and analysis of variance. We will be using the TinkerPlots software package to explore ideas of probability, inference, modeling, and estimation through simulation, and connect these ideas to methods in the R programming language that statisticians and data analysts use worldwide. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
	43148	Lecture-Discussion	L2	11:00AM -12:20PM	TR	Sidney Lu Mech Engr Bldg	Clement, K	Part of Term: 1 Date Range: 08/26/24-12/11/24 Degree Notes: Quantitative Reasoning I course. Section Info: Statistics provides the tools to sort through data to make objective decisions. STAT 200 provides an accelerated introduction to the basic tools for quantitatively oriented students, with particular emphasis on understanding which tools are appropriate for which problems. This course will be taught in an active classroom environment, with students completing discovery-based activities and completing practice problems in the classroom, with most lecture material shifted to be homework outside of the class. We cover ideas of experimental design (including basics of causal inference from observations), basic probability, descriptive statistics, inference from samples (including null hypothesis significance tests), simulation-based inference, linear/multiple regression, and analysis of variance. We will be using the TinkerPlots software package to explore ideas of probability, inference, modeling, and estimation through simulation, and connect these ideas to methods in the R programming language that statisticians and data analysts use worldwide. Restriction(s): Restricted to Undergrad - Urbana-Champaign.