CORE 143S - Statistics: Sci-Analyzing Data

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. This course is no longer crosslisted as MATH 102.

Credits: 1.00
Corequisite: None
Prerequisites: Three years of secondary school mathematics
Major/Minor Restrictions: None
Class Restriction: No Junior, Senior
Restrictions: Not open to students who have either received credit for or are currently enrolled in MATH 416.
Area of Inquiry: None
Liberal Arts CORE: Scientific Perspectives

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