Stat100A-Syllabus W14

Photo id is required in all quizzes exams and

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Unformatted text preview: t the graded material back on time for you to review before grace period ends. Photo ID is required in all quizzes, exams and participations. Students must turn in their own work. E-mail received after hours or on weekends will not be answered until the next working day. E-mail that does not write “STAT 100A” in the subject line may not be answered. This is not a distance course, or a course done online during the lecture. Phones, and any other electronic devices, except a scientific calculator, are not allowed in the classroom and their use will affect your grade. In particular, those items are not allowed in participations, quizzes and exams. The calculator can be graphics calculator, but in exams you will only use a scientific one. • Syllabus (01/03/2013) I. Prerequisite and Course Objectives Prerequisites: Stat 100A is the first course of the three-quarter sequence “Probability and Statistics Theory (100A, B, C).” It is calculus based (integration for functions of one and several variables, matrix algebra required), and it will also use a free software for simulations. Students who register for this class must have completed Mathematics 32B, 33A. Some familiarity with programming will be helpful as well. This course counts towards the minor in Statistics. • Course Objectives: Variation is present in everything we measure and that creates uncertainty about what we might encounter when we take actions. Probabilistic models and laws of chance help understand and model variation so that uncertainty can be quantified and made useful for decision making. The whole discipline of statistics is based on the models we learn in this class. In this course, we learn to appreciate randomness in many situations, not just “games of chance.” By a mixture of theory, experimentation with random numbers that let you see chance at work, and understanding of applications in practice, this course 1 teaches the most common probability rules, mathematical probability models, expectations, a...
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This document was uploaded on 02/02/2014.

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