Introduction to Statistics for Engineering and the Sciences
Lecture
Main Campus
Course Description
Introduction to statistics with examples drawn from various fields, including the sciences, engineering, and social sciences. Collecting data (random sampling, randomized experiments); describing data (numerical and graphical summaries); discrete and continuous probability models; statistical inference (hypothesis tests and confidence intervals). Use of software to conduct probability simulations and data analysis. Prerequisite: MATH 20 or AP Calculus AB.
STATS 110
Units: 5
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Undergraduate
Instructional Mode
In Person
Gen Ed Requirement(s)
WAYS - Applied Quantitative Reasoning (AQR)
WAYS - Formal Reasoning (FR)