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Dec 05, 2025
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EDFN 1092 - Introduction to Statistics and Data Interpretation [3]
This course is repeatable: No
Total # of units allowed for credit: 3
Max times this course can be taken for credit: 1
Max # of units may be repeated: 0
Course Description: Introduction to statistics and data analysis and interpretation using quantitative reasoning and mathematical concepts, including descriptive and inferential statistics and analysis methods for understanding basic research data, with real-life applications in the contexts of education and human services.
Credit Hours Per Week: 3 lecture hour(s)
Grading: ABCDF
Mode of Delivery: Face to Face, Hybrid, Online
Campus: Main Campus
Cross-Listing and/or Equivalent Course(s): None
Prerequisite(s): Math Placement Category I or II (math supported instruction is not required)
Needs Permission to Enroll: No
GE until Summer 2025: Block B4 - Quantitative Reasoning and Mathematical Concepts
GE effective Fall 2025: Area 2 - Mathematical Concepts and Quantitative Reasoning
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Please CLICK HERE for the articulation information regarding this course.
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