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| MAT 216 - Statistical Data Analysis |
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Statistical Data Analysis Prerequisite: LAC student with T1M or ELAC student with LACM 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, Online Mathematical Sciences Department Course Attributes: CSUS Common Course, LAC T2IT-Applied Info Tech Restrictions: May not be enrolled in one of the following Levels: Non Credit Prerequisites: Prerequisite MAT 216 General Requirements: ( Course Attribute: T1M May not be taken concurrently. ) or ( Course Attribute: IIIA May not be taken concurrently. ) or ( S02 550 May not be taken concurrently. ) or ( Course Attribute: LACM May not be taken concurrently. ) |
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