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Sep 18, 2019
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MAT 216 - Statistical Data Analysis
Statistical Data Analysis
Prerequisite: LAC student with T1M or GER student with IIIA or SAT 550+

Multidisciplinary, data-driven course in applied statistics. Topics selected from exploratory data analysis (tables, graphs, central tendency and variation), correlation and regression, probability and statistical inference (confidence intervals and hypothesis testing). Emphasis placed on interpretation and analysis of real-data sets. Use of statistical computing software is integral to the course.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Lecture With Increased Credits

Mathematical Sciences Department

Course Attributes:
CSUS Common Course, GER IA-Inquiry and Analysis, LAC T2IT-Applied Info Tech


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