Document 6554933

 Statistic with Aviation Applications
Math 211
Mode of Delivery ʹ Eaglevision
Classroom
Course Syllabus
Credit Hours:
3 Credits
Academic Term:
Term 2282: 20 October 2014 - 21 December 2014
Meetings:
Tue/ Thurs 18:00-21:00
21, 23, 28, 30 Oct; 4, 6, 18, 20, 25 Nov; 2, 4, 9,
11, 16 Dec
Location:
Ramstein/Kapaun, Aviano
Instructor:
Dr. R. Kuseski
Office Hours:
Before and after class or by appointment
Telephone:
Phone: 49--‐(0)6371--‐51163
E-mail:
[email protected]
(EVC)
Course Description:
This course is a study of basic descriptive and inferential statistics. Topics include types of data,
sampling techniques, measures of central tendency and dispersion, elementary probability,
discrete and continuous probability distributions, sampling distributions, hypothesis testing,
confidence intervals, and simple linear regression. Lecture hours per week (4: 45).
Prerequisite(s): MATH 111 or MATH 140
Course Goals:
Enable students to select and apply appropriate descriptive and inferential statistical techniques
to analyze varying types of data, to defend the rationale for selection of the techniques, and to
effectively communicate results of their analyses.
Learning Outcomes:
Alignment with Worldwide College of Arts & Sciences general education program outcomes
is
indicated in parentheses. Upon completion of the course, students will be able to do the
following:
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1. Construct, compute, and use appropriate graphical displays and numerical measures
to make accurate conclusions about data. (PO 2 & 7)
2. Identify various discrete and continuous probability distributions, identify skewness
and symmetry in a distribution, and compute appropriate parameters and probabilities
associated with probability distributions including sampling distributions. (PO 2 & 7)
3. Explain the importance of randomness in sampling, select and apply appropriate
sampling techniques. (PO 2 & 7)
4. Select and apply appropriate procedures to estimate parameters and test claims
about parameters. (PO 2 & 7)
5. Given a set of data, choose appropriate software, use the software to analyze the
data, and accurately interpret the output from the software. (PO 2 & 7)
6. Communicate the results of statistical analyses in a clear and concise manner. (PO 2
& 7)
7. Be a critical consumer of statistics presented by the media and other sources.
Accurately interpret the statistics presented, identify ways in which they might be
subject to misinterpretation either intentional or unintentional, and apply ethics to the
interpretation and presentation of statistics. (PO 2 & 7)
8. Apply the concepts addressed in the course to problem solving including problems
related to aviation/aerospace. (PO 2 & 7)
List of Program Outcomes for General Education of Arts and Sciences
PO1 --‐ Apply knowledge of college level mathematics to defining and solving problems;
PO2 --‐ Apply statistical methods in the analysis and interpretation of data for the purpose of
drawing
valid conclusions relating to the solutions of problems;
PO3 --‐ Communicate ideas in written form in both technical and non--‐technical areas;
PO4 --‐ Communicate ideas in non--‐written form, such as through oral presentations or visual
media;
PO5 --‐ Recognize the importance of professional, ethical and social responsibility;
PO6 --‐ Understand the natural world, to include the impact of the environment on aerospace
operations and aerospace operations on the environment, as well as everyday life and
professional experiences; PO7 --‐ Use digitally--‐enabled technology to organize and manipulate
data, perform calculations, aid in solving problems, and communicate solutions, ideas, and
concepts;
PO8 --‐ Use scientific information in critical thinking and decision--‐making
processes; PO9 --‐ Function on multi--‐cultural and/or multi--‐disciplinary teams;
PO10 --‐ Apply economic principles to identify, formulate, and solve problems within professional
and
personal environments;
PO11 --‐ Identify and participate in professional and personal development activities through
organizations and self--‐directed learning;
PO12 --‐ Understand contemporary issues in society
PO13 --‐ Recognize the complexity and diversity of the human experience, including cultural,
aesthetic,
psychological, philosophical, and spiritual dimensions;
PO14 --‐ Conduct and report research in accordance with professional standards.
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Required Course Materials:
Text : I nt roductor y statistics: E xplor ing the wor ld th rough data bundled with M S L ( M M L )
and Stat C r unch, 1st Edition, Gould, Robert & Ryan, Colleen, 2013, Pearson//Prentice Hall
ISBN: 978-1269995054 -or-978-1256634270-(Custom) -or- 978-0321869524
Suggested Supplemental Materials:
Good scientific calculator.
Grading:
MyStatLab Assignments (9)
15%
StatCrunch Reports (3)
20%
MyStatLab Quizzes (6)
12%
Course t-Test Project
24%
Participation/Discussion Board
8%
Final Exam Part I
8%
Final Exam Part II
13%
Total
UNDERGRADUATE:
Score
90 - 100
80 - 89
70 - 79
60 - 69
Below 60
100%
Grade
A (Superior)
B (Above Average)
C (Average)
D (Below Average)
F (Failure)
Library:
The Jack R. Hunt Library, located on the Daytona Beach Campus, is the primary library for all
Worldwide Campus students.
Web: http://library.erau.edu
Phone: (800) 678-9428 (ext. 6947) or (386) 226-7656
(Voicemail is available after hours)
Hours: Monday - Friday, 8:00 a.m. - 5:00 p.m. EST
Email: http://[email protected]
Assignments, Discussion Board Participation (If required for Blended Delivery), and/or special
administrative:
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All assignments will be completed in a professional manner and on time, unless prior arrangements have
been made with the professor. Blackboard assignments (if required) are graded with class participation.
This course includes weekly activities, each of which may have grade points associated with them.
Unless prior arrangements have been made with the instructor, students are expected to participate each
week, according to the course schedule. This is especially important with regards to discussion activities.
Weekly discussions typically include both an initial posting and one or more substantive replies.
Note: Proper etiquette has to do with keeping it simple by using proper English and proper spelling ±
spell check works well in Blackboard.
Course Policies:
Embry-Riddle is committed to maintaining and upholding intellectual integrity. All students, faculty, and
staff have obligations to prevent violations of academic integrity and take corrective action when they
occur. The adjudication process will include the sanction imposed on students who commit the following
academic violations, which may include a failing grade on the assignment, a failing grade for the course,
suspension, or dismissal from the University:
1. Plagiarism 3UHVHQWLQJ DV RQH¶V RZQ WKH LGHDV, ZRUGV, RU SURGXFWV RI DQRWKHU. 3ODJLDULVP
includes use of any source to complete academic assignments without proper acknowledgement
of the source. All papers submitted for grading in this course may be submitted to
safeassign.com - http://www.safeassign.com/ where the text of the paper is compared against
information contained in the safeassign.com database. Papers submitted will be included in the
safeassign.com database and become source documents for the purpose of detecting plagiarism.
2. Cheating: A broad term that includes the following:
a.
Giving or receiving help from unauthorized persons or materials during examinations.
b.
The unauthorized communication of examination questions prior to, during, or following
administration of the examination.
c.
Collaboration on examinations or assignments expected to be individual work.
d.
Fraud and deceit, that include knowingly furnishing false or misleading information or
failing to furnish appropriate information when requested, such as when applying for
admission to the University.
3.
APA 6th edition format is the ERAU Worldwide standard for all research projects.
Disability and Special Needs:
ERAU is committed to the success of all students. It is a University policy to provide reasonable
accommodations to students with disabilities who qualify for services. If you would like to request
accommodations due to a physical, mental, or learning disability contact the Disability Support Service
Office at (386) 226-7916.
Course Schedule:
Week
Meeting
Date
Topics
Learning
Outcomes
Introduction and course
Familiarization
1
20-26 Oct
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21 Oct
Introduction, Summary &
Presentation of Data,
Collecting Data,
Organizing Categorical
Data
Activities
Log in to Blackboard and
review class assignments.
LO 1
Chap 1
4
Week
2
27 Oct - 2
Nov
3
3-9 Nov
Meeting
Date
Topics
Learning
Outcomes
Activities
23 Oct
Numerical Variation and
Distribution, Categorical
and Variables and
Distributions, Graphs
LO 2
Chap 2
28 Oct
Measures of Center,
Variation, z-Scores,
Interquartile Range,
Boxplots
MSL Quiz Ch 1 and 2
LO 4
Chap 3, pp. 76-108
30 Oct
Regression Analysis and
Correlation, Modeling
Linear Trends
LO 4
Chap 4, pp. 132-162
StatCrunch Assignm 1A
and 1B
4 Nov
Bootstrapping and
Randomization,
Central Limit Theroem
LO 1, 2, 4
Blackboard Reading:
Bootstrap Distributions
Blackboard Reading:
Randomization Test
Bootstrapping and
Randomization
LO 5, 6
Turn in StatCrunch
Assignm 1,
StatCrunch Assignm 2
LO 4, 5, 6
Chap 5, pp. 194-225
MSL Quiz Ch 3 and 4
6 Nov
4
10-16 Nov
No class
meeting
Probability
5
17-23 Nov
18 Nov
Probability, Addition Rule, LO 3
Multiplication Rule,
Conditional Probability,
Simulations, Law of Large
Numbers
Chap 5, pp. 194-225
20 Nov
The Normal and Binomial
Probability Distributions
LO 3
Chap 6, pp. 242-276
Turn in StatCrunch
Assignm 2
LO 3, 4, 5,
6
Chap 7 pp. 294-324
MSL Quiz Ch 5 and 6
6
24-30 Nov
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25 Nov
Survey Sampling and
Inference
Course Project: Research
Question Prep
5
Week
7
1-7 Dec
8
8-14 Dec
Meeting
Date
No class
meeting
2 Dec
Topics
MSL Quiz Ch 7
Hypothesis Testing for
Population Proportions
Course Project: t-Test
Project Instructions
Learning
Outcomes
LO 4
LO 4, 5, 6
LO 7, 8
Chap 7 pp. 294-324
Chap 8 pp. 338-367
StatCrunch Assignm 3
4 Dec
Hypothesis Testing for
Population Proportions
MSL Quiz Ch 8
LO 4, 5, 6
LO 7, 8
Chap 8 pp. 338-367
9 Dec
Inferring Population
Means
Course Project: Project
Plan Document
LO 7, 8
Chap 9, pp. 386-420
11 Dec
Inferring Population
Means
LO 4, 5, 6
LO 7, 8
Chaps 9 pp. 386-420
Turn in StatCrunch
Assignm 3
MSL Quiz Ch 9
9
15-21 Dec
Activities
16 Dec
Course Project Plan and
Course Project
LO 4, 5, 6
LO 7, 8
Chapters 6-9
18 Dec
Final Part 1 and 2
LO 4, 5, 6
LO 7, 8
Chapters 6-9
Instructor Bio:
I have a PhD in Astronomy along with a Masters and BS in Astronomy. My
undergraduate work was done at the Ohio State University, and my graduate work
was at the Pennsylvania State University. I am currently teaching overseas for
Embry--‐Riddle Aeronautical University in Europe. I have been teaching with ERAU for
14 years, 7 years part--‐time and 7 years full time. I also teach part--‐time for the
University of Maryland. I have taught courses in
Mathematics, Physics, and of course, Astronomy. I have lived in Germany for the last
30 years.
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