Intro to Statistical Analysis
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Credits: 4.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Grade Mode: Letter Grading
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Grade Mode: Letter Grading
Class Size:
25
CRN: 53595
CRN: 53595
A first course introducing concepts of probability and scientific methods for data analysis. Exploratory data analysis, survey sampling, probability, discrete and continuous distributions, confidence intervals, hypothesis testing, comparing samples, linear regression, analysis of variance. Statistical software is used.
Prereq: MATH 425; or permission. Offered primarily for mathematics majors; engineering majors should take MATH 644.
Mutual Exclusion : ADM 430, ADMN 420, BIOL 528, COMP 490, EREC 525, HHS 540, MATH 439, MATH 644, PSYC 402, PSYC 402H, SOC 402, SOC 402H, SOC 502, SOC 502H
Only listed campus in section: Durham
Instructors: STAFF
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/21/2020 | 5/4/2020 | MWF | 11:10am - 12:00pm | HS 140 |
1/21/2020 | 5/4/2020 | T | 3:40pm - 5:00pm | MUB 14 |
Booklist
OpenIntro Statistics - Diez, Barr, Çetinkaya-Rundel, 4th Edition, 2015 (ISBN: 978-1943450077).
The textbook is freely available online at http://openintro.org/os. If you prefer a paperback version, you can buy it at the cost of printing through Amazon or the UNH Bookstore.