Syllabus Introduction to Statistics I Spring 2015 (Bashar)Updated(1)

COURSE SYLLABUS
STA 2023: Introductory Statistics I
Department of Mathematics and Statistics
College of Arts & Sciences
University of South Florida
Course Coordinator: Dr. R. D. Wooten e-mail: [email protected]
Instructor : Raquibul Bashar Term :Spring 2015
Office : CMC 004 (Basement) Class Meeting Days : M W
Phone : [phone] Class Meeting Hours : 8:00-9:15 A. M.
Email :
[email protected]
Class Location : BEH 104
Office Hours : T F, 2:00-4:00 P. M. or by Appointment
__________________________________________________________________________________________
Help Sessions : All Help Sessions are only on Friday.
SEC. 001 (Friday, 8 :00 AM- 8:50 AM in CMC 120 by Jeni Stefanova)
SEC. 002 (Friday, 8 :00 AM- 8:50 AM in SOC  132 by Shanna Lindmeyer)
SEC. 003 (Friday, 8 :00 AM- 8:50 AM in EDU  150 by Shuang Na)
SEC. 004 (Friday, 9 :05 AM- 9:55 AM in SOC  132  by Shanna Lindemeyer)
SEC. 005 (Friday, 9 :05 AM- 9:55 AM in EDU  313  by Shuang Na)
SEC. 006 (Friday, 9 :05 AM- 9:55 AM in CMC  120  by Jeni Stefanova)
Note: The classroom for Section 002 has been changed (from NES 103 to SOC 132)
I. Required Materials :
1) The Joy of Statistics using Real-World Data , 1st Edition, Tsokos|Wooten with disk.
Disk includes: Data Sets & Appendix, Distributions, Experiments, Partial
Solutions, and Projects
ISBN: 9781465214041
2) The Joy of Statistics Student Handbook which includes Chapter Summaries,
Workbook, Using Technology and Projects. Note: updated projects may be
posted on Canvas.
II. Course Description :
This course features Descriptive Statistics, Probability and Inferential Statistics;
including basic probability principles, and Discrete and Continuous Probability
Distributions: Binomial Probability Distribution, Normal and Standard Normal
Probability Distribution, and Student – t Distribution. Point estimation, confidence
limits, and hypothesis testing; with emphasis on applications to Social Sciences,
Life Sciences, Physical Sciences, Engineering and Business.
III. Course Objectives :
Upon completion of an Introduction to Statistics I course, students are expected to
be able to do the following, either by hand (using a scientific calculator for
Syllabus: 1

computations) on an exam or, where possible, using Excel statistical software for a
collected assignment:
1.
Terminology : Students will be familiar with the statistical jargon used in
descriptive statistics, probabilities and inferential statistics including proper
symbolism.
2. Graphical Representation of the Data: Given a set of
measurements, generate a graphical display (such as a frequency
distribution, bar chart, pie chart or histogram)
3. Descriptive Statistics: Given a set of measurements, compute the basic
measures of central tendency (mean, median, mode, trimmed mean and
weighted mean) and dispersal (range, variance, standard deviation).
4. Identify Outliers: Given the graph of a distribution of measurements, or a
description of such a graph such as a histogram or box plot, apply Empirical
Rule or Chebyshev's Theorem to describe the distribution of data and identify
the existence of any outliers.