STAT
1 SYLLABUS, SPRING 2014 

Instructor: 
Dr. Geetha Ramachandran


Office: 
Room BRH127  Math/History Building (Brighton Hall) 

Office Hours: 
T Th 12:00 noon  12:45 p.m. 

Title: 
Introduction to Statistics 

Catalog Description: 
Descriptive statistics, basic concepts of probability and
sampling 

Prerequisites: 
Math 9 or three years of high school mathematics which 

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. 

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).


Text: 
Introductory Statistics by Neil Weiss. 9th edition; Publisher:
Pearson Education 

Coverage: 
We will closely follow the text and cover chapters 1 
14. There will be three midterm tests
and a comprehensive final examination.


Homework: 
Problems from the exercises section in the text will be
suggested for practice. 

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 nontechnical 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. 

Examinations: 


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. 

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.


Attendance: 
Regular attendance is important and cannot be over emphasized.
Experience shows that attendance is highly correlated with good performance
in the course. NO MAKEUP TEST WILL BE GIVEN. 

Webpage: 
https://www.csus.edu/indiv/r/ramachandrang 