SCHEDULE OF CLASSES
Section: MATH 214-701
Credits: 3 credit hours
Availability: 9 (Capacity: 25)
Online Study (Asynchronous)
Study online anytime; no mandatory meeting time
Prerequisite: MATH 104 and higher, or MATH 102 with a minimum final grade of C+. Topics range from data collection, descriptive statistics and linear regression models to inferential statistics. Includes probability, counting principles, and binomial probability distribution. Normal probability distribution and student’s t-distribution are discussed in single and two-populations applications. Statistical inference (confidence intervals and hypothesis testing) in sociology, psychology, and business/industry are stressed. Additional topics may include Chi-square goodness of fit test, tests for independence, and testing the significance of the linear regression model.
INTERESTED IN TAKING THIS COURSE?
There are several ways to register for this course, depending on the type of student you are. If you wish to attend Cayuga as a first-time student seeking a degree, you can review the Admissions process to get started. If you are a returning Cayuga student from the previous semester, you can log into your myCayuga account and self-register. If you are interested in taking this individual course for transfer credit, view our Non-Degree Student page for information on how to register.
TEXT BOOK INFORMATION
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Prerequisites and requirements, learning objectives, other books and materials required, or any other additional course materials.