Statistical Inference for Scientists and Engineers
APMTH 101
Subject & Catalog Number
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Course Information
Description
Introductory statistical methods for students in the applied sciences and engineering. Random variables and probability distributions; the concept of random sampling, including random samples, statistics, and sampling distributions; the Central Limit Theorem; parameter estimation; confidence intervals; hypothesis testing; simple linear regression; and multiple linear regression. Introduction to more advanced techniques as time permits.
Recommended Prep
Math 21a and Applied Math 10 (can be taken concurrently).
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Applied Mathematics
Course Component
Lecture
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
General Education
N/A
Quantitative Reasoning with Data
Yes
Divisional Distribution
Science & Engineering & Applied Science
Course Level
For Undergraduate and Graduate Students
