COURSE SYLLABUS
Course Prefix/Number: STA2023-5876
Course Title: Elements of Statistics
Course Credit Hours: 3
Instructor Name and Contact Information: Dr. F. Fedele, Bldg 38/131, ext. 3277,
ffedele@uwf.edu
Prerequisites or Co-Requisites: MAT 1033
Course Description: The STA-2023 is a General Education and Gordon Rule Course.
It covers descriptive statistics, elementary probability theory, and basic statistical
procedures. In addition to provide basic concepts in the mentioned areas it prepares the
student for other more advanced statistical courses that are necessary for research.
Goals: Upon completion of the course the student will have acquired probability theory
knowledge for solving simple problems and will have acquired statistical knowledge for
estimating and testing simple population parameters.
About this Course: This course is delivered completely online. All homework and
tests are taken online, except for the comprehensive final exam which
can be taken on campus or, proctored, in other localities.. You must have
consistent access to the Internet. Learning at a distance may be a very different
environment for many of you. You will generally set your own schedules and work at
your own pace. You may spend some additional time online during the first few weeks
while you become acclimated to the online class format and you may feel overwhelmed.
You should also be prepared to spend approximately 6 - 8 hours per week online
completing lessons, activities, and participating in class discussions. Finally, you may
want to incorporate these tips to help you get started:
 Set yourself a schedule -- check the course web site early in the class week to
see what tasks you'll need to work on for the week.
 Become very familiar with the site and how to use it. It is a tool to help you learn!
 Team up with your classmates to discuss class assignments and questions you
might have. Check the “Classlist” link for biography info and email addresses.
 Ask questions when you need answers. If you have problems, contact your
instructor ASAP! I will help you come up with a solution!
Topics:
1 Descriptive Statistics
2. Probabilties
3. Discrete Random Variables (Binomial)
4. Continuous Random Variables (Normal)
5. Estimation/Confidence Intervals for Mean and Proportion
6 Hypotheses Testing for Mean and Proportion
7. Hypotheses Testing for Differences of Population Means and Proportions
Student Learning Outcomes:
1. Demonstrate the ability to Display and Describe Data (Topic 1)
 Build Frequency Distributions, Stem and Leaf Display, and Box Plot
 Graph Bar Graphs and Histograms
 Compute Measure of Centrality (mean, median, and mode)
 Compute Measures of Dispersions (standard deviation and range)
 Compute Measures of Location (percentiles, quartiles, z-score)
 Apply the Empirical Rule
2. Demonstrate the ability to apply Probabilities Rules in solving problems (Topic 2)
 Apply the Definition of Probability
 Solve problems requiring the application of formulae for Probability of Union
of Events and Intersection of Events.
 Solve problems requiring the application of formulae for Conditional
Probabilities
3. Demonstrate the ability to apply rules for Discrete Random Variables in solving
problems (Topic 3)
 Build Probability Distributions Tables of Discrete Random Variables
 Compute Mean and Standard deviations of Discrete Random Variables
 Calculate Expectation of Discrete Random Variables for simple experiments
 Use the Binomial Formula and Binomial Tables to solve problems
4. Demonstrate the ability to apply rules for Continuous Random Variables in
solving problems (Topic 4)
 Use Z Tables for finding probabilities for the Normal Distribution
 Calculate probabilities of Normally Distributed Random Variables
 Apply probabilities for Normally Distributed Random Variables in solving
problems
 Use the Normal Distribution to approximate probabilities for Binomial Random
Variables
 Calculate probabilities for the Sample Mean
5. Demonstrate the ability to apply rules for Estimation of Parameters (Topic 5)
 Find Confidence Intervals for the Population Mean (large and small sample)
and the Population Proportion
 Determine the Sample Size for estimating Population Mean and Population
Proportion
 Find Confidence Intervals for Differences of Population Means (large and
small samples) and Differences of Population Proportions
6. Demonstrate the ability to apply Hypotheses Testing for one Population (Topic 6)
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
Test Hypotheses about the Population Mean (large and small sample)
Population Proportion
Test Hypotheses about the Population Proportion
7. Demonstrate the ability to apply Hypotheses Testing for two Populations (Topic 6)
 Test Hypotheses about the Difference of Population Means (large and small
for Independent Samples and for Paired Data.
 Test Hypotheses about the Difference of Population Proportions
Texts:
Course Textbook: Beginning Statistics Textbook and Software Bundle, ISBN: 1932628-12-6 or Statistics Software Only, ISBN: 0-918091-31-4. Available from
UWF Bookstore http://www.bkstr.com/, or from Hawkes Learning Systems
http://hawkespublishing.stores.yahoo.net/statistics.html
Hawkes Learning Systems (HLS) is the publisher’s multimedia software to
support this on-line course. Your Beginning Statistics Textbook and Software
Bundle contains the CD to access the HLS Statistics Software (instructions at
http://www.hawkeslearning.com/default.htm) which provides lessons and tutorials,
generates practice problems, administers assignments to test students’ skills for
each section, and administers tests. All your online assignments, tutorial work and
tests are tracked in your HLS gradebook. You are given the option of purchasing
the Statistics Software Only (CD to access HLS Statistics Software), Before you
decide so, please consider (1) your learning style, (2) the time (and times) you
have access to the Internet, (3) your eyes and your comfort level in reading the
computer screen, (4) the amount of time you spend waiting in places appropriate
for study but not conducive to using the computer, etc.
Instructor’s Notes are an additional source of content for this course (available on
D2L). They consist of a concise, yet complete collection of concepts and formulae,
accompanied by examples. It is suggested that students learn the assigned
material by reading both instructor’s notes and textbook and by getting lessons’
instruction on HLS.
Grading / Evaluation: The course grade will be determined as follows:
Homework
25% of final grade
Three Tests
45%
Comprehensive final exam:
30% of final grade
Grades assigned according the following scale: 90-100
80-89
70-79
60-69
Less than 60
A or AB+, B, or BC+, C, or CD+ or D
F
Information for students on taking a proctored exam is available at:
http://www.uwf.edu/atc/training/proctor.htm. Students who live on-campus or its
proximity can take the final exam on campus (Friday, August 7, 9:30am).
Only a formula sheet, tables, and calculator are allowed while taking tests and final
exam.
Special Technology Utilized by Students:
1. UWF e-Learning (DL2) website access through Argus.
2. Hawkes Learnig Systems Statistical Software
TO INSTALL THE HLS SOFTWARE:
1. Place CD #1 – Installation Disc in the CD-ROM drive.
2. The installation will begin automatically. Follow the on-screen instructions.
3. You will be prompted to enter a HLS Course ID. The course ID is UWFSTAT
TO GET YOUR ACCESS CODE:
1. Either go to www.hawkeslearning.com and click on “get your access code” or
click on the “I need an access code link…” from the software.
2. Fill out the form (including your 15-digit license number from the yellow sticker on
the CD sleeve). Click on the submit button and your personalized Access Code
will appear on the screen. You will also receive an e-mail with the Access Code
as an attachment called “access.cod” which you should save.
TO ENTER THE SOFTWARE AND SAVE YOUR ACCESS CODE:
1. Double-click on the purple diamond icon on your Desktop (or go to Start,
Programs, Hawkes Learning Systems).
2. Enter your Access Code when prompted. You may type it, paste it, or load it
from a disk by clicking the “Load From Disk” option. If you type or paste your
Access Code, you will be prompted to save it. Save your Access Code to avoid
typing it each time.
TO ENROLL IN YOUR INSTRUCTOR’S GRADEBOOK:
1. If you have internet access and have entered your HLS Course ID (which is
UWFSTAT), you will be asked to enroll in your instructor’s gradebook. Choose
your instructor’s name (Franco Fedele) and the correct section (STA2023-5876).
TO CERTIFY (DO YOUR ASSIGNMENT IN THE SOFTWARE):
1. The Certify option is where you will complete your assignment.
2. After certifying, you will be given a certification code (this verifies that you
completed your assignment). It is recommended that you save and/or print your
certification code. You should receive a message that says your certificate for
the lesson has been registered successfully.
This course is totally online. All instructional content and interaction takes place over the
WWW. In addition to baseline word processing skills and sending/receiving email with
attachments, students will be expected to search the internet and upload / download
files. In addition, students may need one or more of the following plug-ins:

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
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Adobe Acrobat Reader: http://www.adobe.com/products/acrobat/readstep2.html
PowerPoint Viewer:
http://microsoft.com/downloads/details.aspx?FamilyId=D1649C22-B51F-491093FC-4CF2832D3342&displaylang=en
Windows Media Player:
http://www.microsoft.com/windows/windowsmedia/download/
Quicktime Player: http://www.apple.com/quicktime/download/
Real Player:
http://forms.real.com/netzip/getrde601.html?h=207.188.7.150&f=windows/RealO
nePlayerV2GOLD.exe&p=RealOne+Player&oem=dl&tagtype=ie&type=dl
Macromedia Flash Player:
http://macromedia.com/shockwave/download/download.cgi?P1_Prod_Version=S
hockwaveFlash
Expectations for Academic Conduct/Plagiarism Policy:
Academic Conduct Policy: (Web Format) | (PDF Format) | (RTF Format)
Plagiarism Policy: (Word Format) | (PDF Format) | (RTF Format)
Student Handbook: (PDF Format)
ASSISTANCE: Students with special needs who require specific examination-related or
other course-related accommodations should contact Barbara Fitzpatrick, Director of
Student Disability Resource Center (SDRC), sdrc@uwf.edu (850) 474-2387. CDRC will
provide the student with a letter for the instructor that will specify any recommended
accommodations.
Withdrawal Policy: Withdrawal deadline: July, 9 (Automatic grade of W). Late
withdrawal deadline (after 7/9): August, 7. (W or WF, see the requirements below).
Students who are requesting a late withdraw from class, must have the approval of the
advisor, instructor, and department chairperson (in that order) and finally, by the
Academic Appeals committee. Requests for late withdraws may be approved only for
the following reasons (which must be documented): a) a death in the immediate family,
b) serious illness of the student or an immediate family member, c) a situation deemed
similar to categories a) and b) by all in the approval process, d) withdrawal due to
Military Service (Florida Statute 1004.07), and e) National Guard Troops Ordered into
Active Service (Florida Statute 250.482)
Requests without documentation should not be accepted. Requests for late withdraws
simply for not succeeding in a course, do not meet the criteria for approval and should
not be approved.
WEEK
1: 5/25-6/1
Session 1
Course Schedule
REQUIREMENTS
ASSIGNMENTS
1.1 Getting Started
Certification: 1, 1.2, 2.1, 2.2a, 2.2b
1.2 Data Classification
2.1 Frequency Distributions
2.2a Graphical Displays of Data: Bar Graphs
2.2b Histograms, Polygons, Stem and Leaf Plots
2: 6/2-6/8
Session 2
3.1 Measures of Center
Certification: 3.1, 3.2, 3.3
3.2 Measures of Dispersion
3.3 Measures of Relative Position
3: 6/9-6/22
Session 3
4.1 Classical Probability
Certification: 4.1, 4.2
4.2 Probability Rules
4: 6/16-6/22 Session 4
5.1 Expected Value
Certification: 5.1, 5.2
5.2 Binomial Distribution
TEST 1 (6/19-6/22)
5: 6/23-6/29 Session 5
6.1 Introduction to the Normal Curve
Certification: 6.2, 6.3, 6.4, 6.5
6.2 Reading of Normal Curve table
6.3 Finding Probability Using the Normal Curve
6.4 Finding z-values Using Normal Curve
6.5 Finding t-values using the student t-distribution
6: 6/30-7/6
7.1 Sampling Distributions
Session 6
Certification: 7.2, 8.3, 8.3, 8.4
7.2
8.1
8.2
8.3
8.4
Central Limit Theorem with Population Means
Introduction to Estimating Population Means
Estimating Population Means (Large Samples)
Estimating Population Means (Small samples)
Estimating Population Proportions (Large samples)
7: 7/7-7/13
Session 7
9.1 Comparing Two Means (Large, Independent Samples)
Certification: 9.1, 9.2, 9.4
9.2 Comparing Two Means (Small, Independent samples)
9.4 Comparing Two Proportions (Large, Independent Samples)
TEST 2 (7/10-7/13)
8: 7/14-7/20 Session 8
10.1 Fundamentals of Hypothesis Testing (Types of Error)
Certification: 10.2, 10.3, 10.4
10.2 Hypothesis Testing for Means (Small Samples)
10.3 Hypothesis Testing for Means (Large Sample)
10.4 Hypothesis Testing for Population Proportions
9: 7/21-7/27 Session 9
Samples)
11.1 Hypothesis Testing-Two Means (Large Independent
Certification: 11.1, 11.2, 11.3, 11.4
11.2 Hypothesis Testing-Two Means (Small Independent
Samples
11.3 Hypothesis Testing-Two Means (Dependent Samples)
11.4 Hypothesis Testing-Two Proportions (Large Independent
Samples)
TEST 3 (7/24-7/27)
10: 7/28-8/3
Review Final Exam
FINAL EXAM (Pensacola Campus: 8/7)
(Proctored: 8/4-8/7)