# Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus

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1 Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March May 2015 Meetings: Thurs 18:00-22:00 26 Mar; 2,9,16,23,30 Apr; 7, May. Location: Instructor: Office Hours: Rota, Spain. Dr. Antonio Ruiz Before and after class or by appointment Telephone: Phone: 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: Ver. 12/11 1

2 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. Ver. 12/11 2

3 Required Course Materials: Text Gould, R. & Ryan, C. (2013). Introductory statistics: Exploring the world through data (1st ed.), Books a la Carte Edition Plus MyStatLab -- access Card Package. (ISBN-10: ISBN-13: or Custom Version: ISBN and ) ISBN: or (custom) -or 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 100% UNDERGRADUATE: Score Grade A (Superior) B (Above Average) C (Average) D (Below Average) Below 60 F (Failure) *This course contains three StatCrunch Reports; two are weighted at 6% and the other at 8%. See StatCrunch activity description for a detailed explanation. MyStatLab (MSL) Homework Modules 1, 2, and 4 each contain two MSL homework assignments. Modules 5, 6, and 7 Ver. 12/11 3

6 2 30 Mar 5 Apr 2 Apr Measures of Center, Variation, z-scores, Interquartile Range, Boxplots Regression Analysis and Correlation, Modeling Linear Trends LO 4 Chap 3, pp Chap 4, pp StatCrunch Assignm 1A and 1B MSL HW Ch 3 MSL Quiz Ch 3 MSL HW Ch 4 MSL Quiz Ch Apr 9 Apr Bootstrapping and Randomization, Central Limit Theorem Bootstrapping and Randomization LO 1, 2, 4 LO 5, 6 Blackboard Reading: Bootstrap Distributions Blackboard Reading: Randomization Test Turn in StatCrunch Assignm 1, StatCrunch Assignm Apr 16 Apr Probability, Addition Rule, Multiplication Rule, Conditional Probability, Simulations, Law of Large Numbers LO 4, 5, 6 Chap 5, pp HW Ch5 MSL Quiz Ch Apr 23 Apr The Normal and Binomial Probability Distributions LO 3 Chap 6, pp Turn in StatCrunch Assignm 2 HW Ch 6 MSL Quiz Ch Apr-3 May 25 Nov Survey Sampling and Inference Course Project: Research Question Prep LO 3, 4, 5, 6 Chap 7 pp HW Ch 7 MSL Quiz Ch May 7 May Hypothesis Testing for Population Proportions LO 4, 5, 6 LO 7, 8 Chap 8 pp Ver. 12/11 6

7 Course Project: t-test Project Instructions Hypothesis Testing for Population Proportions StatCrunch Assignm 3 HW Ch 8 MSL Quiz Ch May No meeting Inferring Population Means Course Project: Project Plan Document Inferring Population Means LO 7, 8 Chap 9, pp Turn in StatCrunch Assignm 3 HW Ch 9 MSL Quiz Ch May No meeting Course Project Plan and Course Project LO 4, 5, 6 LO 7, 8 Chapters 6-9 Final Part 1 and 2 Instructor Bio: I have a PhD in Marine Science along with Masters in Oceanography, Physics and Math and BS in Nautical Science. My graduate work was done at the Naval Postgraduate School, Monterey, California and Cadiz University, Spain. I am currently teaching overseas for Embry- Riddle Aeronautical University in Europe. I have been teaching with ERAU for 30 years. I also teach part-time for the University of Maryland. I have taught courses in Mathematics, Physics, Meteorology, Biology, Environmental Science and of course, Oceanography. I currently live in Cadiz, Spain. Ver. 12/11 7

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