This is a calculus-based introductory statistics course. Topics covered include data collection, data visualization, descriptive statistics, linear regression, sampling schemes, design of experiment, probability, random variables (both discrete and continuous cases), Normal model, statistical tests and inference (e.g. one-sample and two-sample z-tests and t-tests, chi-square test, etc). Statistical language R will be used throughout the course to realize data visualization, linear regression, simulations, and statistical tests and inference.

Units: 1

Max Enrollment: 24

Prerequisites: Pre or co-requisite - MATH 205, and fulfillment of the Quantitative Reasoning (QR) component of the Quantitative Reasoning & Data Literacy requirement. Not open to students who have taken or are taking STAT 160,  ECON 103/SOC 190, PSYC 105, or QR 260/STAT 260.

Distribution Requirements: MM - Mathematical Modeling and Problem Solving

Degree Requirements: DL - Data Literacy

Typical Periods Offered: Spring; Fall

Semesters Offered this Academic Year: Fall; Spring

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