SCHEDULE OF CLASSES

RETURN TO SCHEDULE

FUNDAMENTALS OF STATISTICS USING TECHNOLOGY

CRN: 74513

Section: MATH 121-150

Credits: 3 credit hours

Availability: 16 (Capacity: 25)

Dates: 08-26-2024 – 12-06-2024

Instructor: Paul Richardson

SCHEDULED MEETING TIMES:

Tues, Thurs

12:30 PM - 1:55 PM

Fulton Campus - F213

COURSE DESCRIPTION

Prerequisite: MATH 099 or equivalent. An introductory course in statistics for non STEM majors. Course utilizes basic algebraic hand calculations and use of technology (Excel, Minitab and/or a graphing calculator). Topics include sampling design, visual and descriptive statistics along with basic linear regression/correlation models. Probability topics range from basic rules and conditional probabilities to discrete, binomial, and normal probabilities. Statistical inference (confidence intervals and hypothesis testing) for a single population mean and proportion are also discussed. Time permitting, additional topics may include normal approximation to the binomial distribution and statistical inference for two population means and proportions. A specific model of graphing calculator or student license for statistical software may be required. Students who have successfully completed Math 214 are prohibited in enrolling in Math 121.

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

VIEW COURSE & TEXTBOOK MATERIAL

BOOKSTORE INFORMATION:
By clicking the button above you will be taken to Cayuga’s official bookstore website to review what books are required for this course.

ADDITIONAL INFORMATION

VIEW ADDITIONAL INFORMATION

Additional information could contain the following:
Prerequisites and requirements, learning objectives, other books and materials required, or any other additional course materials.

RETURN TO SCHEDULE