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Class number:
3002
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Title: Introduction to Statistics |
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Department: Mathematics |
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Career: Undergraduate |
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Component: Lecture |
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Session: Regular |
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Instructor's Permission Required: No |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 29 |
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Current enrollment: 29 |
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Available seats: 0 |
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Start date: Monday, January 22, 2024 |
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End date: Friday, May 10, 2024 |
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Mode of Instruction: In Person |
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Schedule: MWF: 10:00AM-10:50AM, MECC - 246 |
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Instructor(s): Johnston, Daniel |
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Prerequisite(s): Prerequisite: A suitable score on the Mathematics Placement Exam or completion of QLIT101 or QLIT 103 with a grade of C- or better. |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
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Note: Students who have credit for Mathematics 107 or 207 are not eligible to enroll in this course. |
Course Description:
This course will provide a basic foundation in descriptive and inferential statistics, including constructing models from data. Students will learn to think critically about data, apply discrete and continuous probability models, and utilize statistical inference procedures using computational tools. Topics include descriptive and inferential statistics, including one and two-sample hypothesis testing, and single and multiple regression. The course is open to any student who has already satisfied the College's Quantitative Literacy requirement. |