STAT
1 SYLLABUS, SPRING 2014 |
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Instructor: |
Dr. Geetha Ramachandran
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Office: |
Room BRH-127 - Math/History Building (Brighton Hall) |
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Office Hours: |
T Th 12:00 noon - 12:45 p.m. |
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Title: |
Introduction to Statistics |
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Catalog Description: |
Descriptive statistics, basic concepts of probability and
sampling |
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Prerequisites: |
Math 9 or three years of high school mathematics which |
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Learning Objectives: |
Organize, Summarize, and Interpret data in tabular, graphical,
and pictorial formats. Understand the basic rules of probability. Use of the
binomial distribution as a model for discrete variables. Understand the
Normal distribution as a model for continuous variables. Learn Statistical
Inference techniques of parameter estimation such as Point Estimation, and
Confidence Interval Estimation. Learn techniques of testing various
statistical hypotheses concerning population parameters. |
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Class Hours: |
T Th 10:30 a.m. -
11:45 a.m. in ARC 1010 for the studio section (section 11) and in ARC 1016 for
the remote section (section 12).
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Text: |
Introductory Statistics by Neil Weiss. 9th edition; Publisher:
Pearson Education |
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Coverage: |
We will closely follow the text and cover chapters 1 -
14. There will be three midterm tests
and a comprehensive final examination.
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Homework: |
Problems from the exercises section in the text will be
suggested for practice. |
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Writing Component: |
STAT 1 satisfies Area B4 of the GE requirements. Students are
advised to practice interpreting the results of statistical analyses using
technical and non-technical language while solving assigned word problems
dealing with real life situations. Class discussions will emphasize this
writing component requirement of the course through the above criterion. |
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Examinations: |
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Grading: |
Letter grade will be assigned on the basis of a weighted average score according to the above weighting scheme and the guidelines in the latest catalog. |
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Drops: |
You may drop this course without penalty until Friday, March
7, 2014. For procedural details refer to the DROP POLICY document of the CSUS
Math & Statistics department. On or after March 10, 2014, you MUST be
passing this course (with a grade of C or better) AND MUST have a written
medical excuse from a licensed M.D. in order to drop this course without
penalty.
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Attendance: |
Regular attendance is important and cannot be over emphasized.
Experience shows that attendance is highly correlated with good performance
in the course. NO MAKE-UP TEST WILL BE GIVEN. |
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Webpage: |
http://www.csus.edu/indiv/r/ramachandrang |