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| MATH 214 - Statistics |
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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.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Undergraduate Schedule Types: Hybrid (Asynchronous), Hybrid (Synchronous), Individual Study, Lecture, On-line Study (Synchronous), On-line Study (Asynchronous) All Sections for this Course Science/Math/Technology Division Math Department Course Attributes: Gen Ed Mathematics, Liberal Arts Elective, Math Elective, Math/Science Elective |
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