- Semester
- Fall 2024
- Instructor
- Barry Fitzgerald
- Start Date
- 09-30-2024
- Total Credits
- 3
- Call to Register
- 315-255-1743
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
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. Click here for full section info.
Prerequisites:
Prerequisite Information
General Education Area(s): Mathematics
Course Area: Mathematics
Level: Lower Level Undergraduate
Dates: 09-30-2024 - 12-06-2024
- Find books for your online class
- Instructor: Barry Fitzgerald
- Local Course ID: 24FA_CAY_MATH214_2
- Books & Supplies
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How to Register for an Online Course
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- Search
- Search for an online course by keyword, semester, campus, area, or a combination of each.
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- Select Course
- Select a course from the results list that fits your needs.
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- Visit College Website
- Click “register now” to visit the college website to register as a “non-credit” or “non-matriculated” student if you are not enrolled at the campus.
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- Contact Registrar
- Contact the registrar’s office or enrollment office to register for the course. Make sure you have the course name and course ID when you register.
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- Transfer Credits
- If you plan to transfer credit for the course, make sure you have reviewed the course with the advisor at your current college to ensure the credits will transfer to your degree program.
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- Locate Course Materials
- Once you register for the course, visit the campus bookstore to find the books and materials for the course. You will need the course ID to find the books.