-
Institution:
-
Colgate University
-
Subject:
-
-
Description:
-
Staff Introduces students to statistical thinking by examining data collected to solve real-world problems. A wide range of applications are considered. Topics include experimental design, descriptive statistics, the normal curve, correlation and regression, probability theory, sampling, the central limit theorem, estimation, hypothesis testing, paired observations, and the chi-square test. Particular emphasis is given to the models that underlie statistical inference. Prerequisite: three years of secondary school mathematics. Note: This course is not open to students who have either received credit for or are currently enrolled in MATH 316 or 317. This course is crosslisted as CORE 143.
-
Credits:
-
3.00
-
Credit Hours:
-
-
Prerequisites:
-
-
Corequisites:
-
-
Exclusions:
-
-
Level:
-
-
Instructional Type:
-
Lecture
-
Notes:
-
-
Additional Information:
-
-
Historical Version(s):
-
-
Institution Website:
-
-
Phone Number:
-
(315) 228-1000
-
Regional Accreditation:
-
Middle States Association of Colleges and Schools
-
Calendar System:
-
Semester
Detail Course Description Information on CollegeTransfer.Net
Copyright 2006 - 2026 AcademyOne, Inc.