FALL 2013
MWF 11:00 – 11:50
Econ 201
Statistical Methods
Instructor: Renatte K. Adler
E-Mail: radler@mail.sdsu.edu
Office: AH-4226
Office Hours: Mon. 12:00 - 1:00;
Weds. 8:30 - 9:30 & 12:00 – 1:00
Wed.
Text
Overview
Statistics is the science of learning from data. In your lifetime, you
will be bombarded with data and statistical information. Using
data effectively is a growing part of most professions. It is required
to participate in society as a well-informed individual watching all
forms of media. A solid understanding of statistics will enable you
to make sound, data-based decisions in your career and every-day
life.
Business Statistics: Communicating
with Numbers by Jaggia & Kelly
CONNECT for no ebook, or
CONNECTPlus to include ebook
http://connect.mcgrawhill.com/class/r_adler_mwf_1100
FIREFOX is the recommended
Browser.
Tech Support 1-800-331-5094
Goals
To form the habit of asking: “What do the data tell me?”
• Understand where data come from and how to organize and
analyze data sets in Excel.
• Every student must understand the meaning of AND be able to
easily use 3 concepts: “N” (population size or sample size, as
appropriate), mean and standard deviation. From the beginning to
end of the semester, these three measures will be used in a wide
variety of concepts and calculations.
• Use problems in the book and Connect assignments to practice
statistical methods. You learn statistics by doing statistics
problems.
• Use statistics to form conclusions based on analyzing the data.
Statistical Methods
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Requirements
Chapter readings will be assigned in-class and online. PowerPoints
are available for each chapter in Connect. LearnSmart is highly
suggested as a Study Guide and Chapter Review tool.
Evaluation
There will be 4 Homework Assignments due:
Sept. 16, Oct. 11, Nov. 6, Dec. 11 (last day of class).
There will be 3 Follow-up Exams: Sept. 20, Oct. 16, Nov. 13.
There is no cumulative final.
One paper is required, due Dec. 16 at 12:30 p.m. (Monday of finals
week). Details will be posted on Blackboard.
Grades are curved based on class performance. The grading scale
is standard 90% A’s, 80% B's, 70% C’s, 60% D’s. A student’s
grade for the course is weighted equally for each of the 8
assignments (4 homeworks, 3 exams, 1 paper). Failing grades are
earned if students do not attend class regularly and do not earn at
least 60% average for the eight assignments.
Extra credit may be offered during the semester but will not be
offered for any reason after Dec. 11.
Statistical Methods
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