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# Introduction to the Practice of Statistics 4Th Edition

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```									                          STAT 200 Introduction to Statistics (3) (Flex)
Fall Session 2 – 2009-10
Yokota Air Base
MW 1930 - 2210
University of Maryland University College

Faculty Contact Information:
 Name                    - M. A. Tisher
 Cell Phone             - 090-9574-4827
 Office hours            - By appointment
 Details of contact      - Usually respond to email and return to phone call within 1-2 days

Course Materials:
Text : Triola, M. F. (2010). Elementary Statistics Using Excel, 4th edition. (comes bundled
with a Student Solutions Manual)

Other Materials:
Scientific calculator
Statistical software availability

Course Description:
Prerequisites: MATH 107. An introduction to statistics. Topics include descriptive statistics,
methods of sampling, tables, graphs, percentiles, concepts of probability, normal and chi-square
distributions, sampling distributions, confidence intervals, hypothesis testing of one and two
means, proportions, binomial experiments, sample size calculations, correlation, and regression.
Applications in business, social sciences, and other fields are discussed. Students who receive
credit for STAT 200 may not receive credit for the following courses: BEHS 202, BEHS 302,
BMGT 230, ECON 321, GNST 201, MATH 111, MGMT 316, PSYC 200, SOCY 201, OR
STAT 100.

Course Goals/Objectives:

The minimal objectives that the student should be able to do upon successful completion of this
course include the following:
 Define and use basic statistical terms
 Identify various data collection and sampling methods
 Calculate measures of center, variation, and position, and interpret these statistics
 Construct and extract information from statistical graphs and charts
 Solve counting applications, calculate application probabilities, and calculate
probabilities using probability distributions
 Construct confidence intervals and calculate appropriate sample sizes
 Test hypotheses and apply correlation and regression analysis
 Input data, run statistical tests using statistical software, and interpret the results
 Apply these techniques to the solution of practical problems drawn from fields such
as mathematics, business, and the social, life and physical sciences

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Course Introduction:
This course is designed to develop a basic understanding of descriptive and inferential statistics.
STAT 200 provides the quantitative tools for decision-making and develops the ability to
interpret statistical results in professional literature as well as the media. This course is intended
to accommodate every student who needs an introductory statistics course, regardless of the
subject in which one plans to major (psychology, business, education, social science,
engineering,…everyday life…).

Homework                                                     300
Test #1                                                      200
Corrections on Test #1                                       100
Test #2                                                      200
Corrections on Test #2                                       100
Project                                                      200
Final                                                        400
Class Participation                                          100
1600

Grades will be computed using the percentage of 1600 using the following scale:

90 - 100%    A
80 - 89%     B
70 - 79%     C
60 - 69%     D
Below 60%    F

Other Information
 Study time (including reading and exercises) can be expected to be 2 to 3 times the amount
of lecture time. That is, for every hour in class expect to spend 2 to 3 hours out of class
studying.
 Attendance: It will be to the student’s advantage to attend all classes. When absence is
unavoidable, it is a student’s own responsibility to makeup any work missed before the next
class session. For administrative purposes, attendance will be recorded. Students expecting
or experiencing long absences during the term should contact the faculty.
 Homework assignments will be given for each class session. You are responsible for solving
all problems assigned and handing them in for a grade. Completing all the homework
problems should help you prepare for the tests. If there are any problems that you found
difficult or were unable to solve, be prepared to ask questions concerning those problems at
the beginning of each class. Mastery of math depends on practice, practice, practice!
 Please note that ALL homework and ALL corrections must be turned in and ALL tests must
be taken by the end of the term. Otherwise, any of the missing work will result in a 0.
 Class participation points will be based on the quality of the student’s contribution to class
and frequency of that contribution. Students are expected to assist each other in learning and

Page 2                                                                       DISC ###, Section ####
understanding the math principles. The way to arrive at an answer to an exercise is as
important as having the correct answer.
    For one reason or another, a student may disappear for the rest of the course, and, thus, might
not keep up with the class material. If that is the case, then again, any missing work will
result in a 0, and then a final grade will be submitted accordingly. To avoid this from
happening, it is the STUDENT’S responsibility to see that all work is turned in before the
end of the term whether that student attends the class or not.
    Any person with a disability that requires assistance, please see me, and we can make
necessary accommodations.
    In lieu of a planned absence (like a TDY, for example), a student can do what is known as
“flexing a course” which is the following. If a student anticipates an absence on a given day,
then a student can carry out a certain set of duties and responsibilities in order to cancel the
absence.

For academic policies, please see The Student Handbook and the UMUC Asia catalog which are
currently located at http://www.ad.umuc.edu/docs/umg-053.html on the Asian Division web
page.

Page 3                                                                      DISC ###, Section ####
Course Schedule:

Listed are the dates that are scheduled for the class:

Oct. 26 28

Nov. 2 4
9 11
16 18
23 25
30

Dec.       2
7 9
14 16

Test #1 (which covers Week #1 through Week #3) shall be given on Nov. 11.
Test #2 (which covers Week #4 through Week #6) shall be given on Dec. 2.
The final exam (which covers Week #1 through Week #8) shall be given on Dec. 16.

Detailed information about the final as well as the two tests shall be given later. For the other
dates, we will adhere to the following schedule:

Chapter 1:         Introduction to Statistics
Chapter 2:         Summarizing and Graphing Data
Chapter 3:         Statistics for Describing, Exploring, and Comparing Data
Chapter 4:         Probability
Chapter 5:         Discrete Probability Distributions
Chapter 6:         Normal Probability Distributions
Chapter 7:         Estimates and Sample Sizes
Chapter 8:         Hypothesis Testing
Chapter 9:         Inferences from Two Samples
Chapter 10:        Correlation and Regression

THE ABOVE SCHEDULE AND SYLLABUS ARE SUBJECT TO CHANGE IN THE
EVENT OF EXTENUATING CIRCUMSTANCES.

Page 4                                                                        DISC ###, Section ####

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