Statistical Analysis RSCH 665 Eagle Vision Classroom - Blended Course Syllabus

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1 Statistical Analysis RSCH 665 Eagle Vision Classroom - Blended Course Syllabus Credit Hours: 3 Credits Academic Term: May 2016; 31 May August 2016 Meetings: Fri Sat/Sun (GMT+1) 3, 10, 17,18, 19, 24 Jun 8 Jul Students attend class at a designated ERAU campus classroom. Weeks 1 through 9 utilize the Canvas Online Learning Management System in the blended mode for course content, activities, and communications. Location: Instructor: Office Hours: Telephone: Eagle Vision Classroom Blended, Aviano, Ramstein, Geilenkirchen, Kuwait Dr. Michael D. Santonino III Available weekdays and weekends by appointment. Office/Cell: Italy (GMT+1) Available via SMS, WhatsApp or Skype ID: MicheleSantonino COURSE DESCRIPTION: GOALS: The review, design, planning, analysis and statistical interpretation of data to support research studies and industrial applications. Students will build on statistical theory and learn advanced techniques that can be applied to problem solving, research analysis and numerical interpretation of data. Students will learn to identify parametric and non parametric statistics, develop correlation methods for linear and non linear data, and statistical significance testing between samples and within samples. Students will undertake projects using computer programs for data that is derived or given. Statistical results will be presented in tabular, graphical and numerical ways in accordance with the American Psychological Association format. This course is a requirement for the College of Aeronautics. The purpose of the course is to enable students to develop the understanding and skills to apply statistical research design and interpretation in their own research efforts and to be able to evaluate and interpret the research findings of others. 1

2 LEARNING OUTCOMES: Upon completion of this course, the student will be able to: 1. Explain the purpose of empirical research and the role of statistics. 2. Describe and apply the use of descriptive statistics. 3. Describe and demonstrate the use of descriptive statistics for joint distributions including correlation coefficients and linear regression. 4. Present statistical findings in appropriate formats within technical writings and reports. 5. Evaluate the reasoning behind statistical inference and how various confidence levels apply. 6. Distinguish and apply the types of data where statistical tests for between-subjects designs including t-tests, one-way analysis of variance, and factorial analysis of variance can be applied 7. Comprehend and solve for the types of data using statistical tests for within-subjects and mixed designs including randomized-block analysis of variance, split-plot analysis of variance, and analysis of covariance can be applied. 8. Differentiate between parametric and nonparametric statistics and apply appropriately to analyze data for a wide range of aviation/aerospace and industrial applications. 9. Calculate multiple regression to analyze data in linear formats and recognize where non-linear formats exists. 10. Calculate Chi-square values to test hypotheses for various degrees of freedoms. 11. Demonstrate appropriate selection and application of a research method and statistical analysis (where required), specific to the course subject matter. Required Course Materials: Aron, A., Coups, E. J., & Aron, E. (2011). Statistics for the behavioral and social sciences: a brief course (5th ed.). Upper Saddle River, NJ: Prentice Hall/Pearson. ISBN: and Webster West (2013).StatCrunch Statistical Analysis Software [Web-based Statistical Software]. 2

3 Available from: and American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, D.C.: APA. ISBN: GRADING SYSTEM: Grade Scale % A 80-89% B 70 79% C 0-69% F Evaluation Items & Weights Online Assignments 50% Final Examination 15% Research Project 20% Participation EV sessions & Online Discussions 15% Total 100% Library: The Jack R. Hunt Library, located on the Daytona Beach Campus, is the primary library for all Worldwide Campus students. Web: Phone: (800) (ext. 6947) or (386) (Voic is available after hours) Hours: Monday - Friday, 8:00 a.m. - 5:00 p.m. EST Research Project: For the research project paper, you will produce a brief research document about the subject of your data collection and analysis. The paper must demonstrate the concepts used throughout the It is recommended that you utilize the data collection and statistical analysis portion of this course as it aligns to the much more comprehensive research work you will need to complete in the Graduate Capstone Course (ASCI 691). The paper should have a minimum length of five (5) pages not including appendices and references. and should be prepared using APA 6th Edition standards. Writing should show college level work. Don't forget the basics; spelling, grammar, and format. Research Papers are due on the 9th week (shown on the Course Schedule). All papers/projects submitted for grading in this course will be submitted to Turnitin.com - This paper is worth 20% of your final grade. This is a large portion of your overall grade and you need to treat it as such. 3

4 Assignments, Discussions, and Participation The assignments are worth a total of 50% of your final grade. Assignments must be uploaded to Canvas before the start of EV meetings on Friday s. Hence, every Aviano Italy GMT +1. Work submitted after the due date will be penalized one letter grade plus 10% for each week the assignment is late. All assignments will be completed in a professional manner and on time, unless prior arrangements have been made with the professor. 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 class discussion activities during Eagle Vision Meetings. The discussions and participation are worth 15% of your final grade. Students are encouraged to be active participants during the live scheduled Eagle Vision meetings and other assigned discussion activities during the week. Discussions must be completed by the end of the week (module end date) for the blended portion of the class requirements. The StatsCrunch Study Hall discussion forum and/or Student Lounge will be monitored throughout the semester for active participation. Students are encouraged to share experiences as part of the online learning environment for fellow classmate. The Online Office (Ask Your Professor) should be viewed every few days (or a least prior to attending the EV meeting) for questions answered on course related topics. All personal matters should be communicated to the instructor using the Canvas . Final Exam The final exam must be completed during week 9 (module 9) on Canvas. The final exam consists of 10 essay questions randomly drawn from a pool of 28 questions. Each question is worth 10 points, for a total of 100 points, and weighted at 15% of your final course grade. This is a timed exam with 3 hours to complete the exam. See course schedule for additional information. 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: Presenting as one s own the ideas, words, or products of another. Plagiarism includes use of any source to complete academic assignments without proper acknowledgement of the source. All papers submitted for grading in this course will be submitted to Turnitin.com - where the text of the paper is compared against information contained in the safeassign.com database. Papers submitted will be included in the Turnitin.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 4

5 admission to the University. 2. 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, please contact the Worldwide Campus Disability Support Service Office at (888) or via or Course Schedule: RSCH May August 2016 Week Topics/Readings Activities Learning Outcomes 1 5/31-6/6 Research Design LO 1, 4 2 6/7-6/13 Reading: Chapter 1 - Displaying the Order in a Group of Numbers Using Tables and Graphs Descriptive Statistics for Univariate Distributions Central Tendencies Reading: Chapter 2 - The Mean, Variance, Standard Deviation, and Z Scores Attend EV Meeting #1 on Fri., June 3 22:00, GMT +1. Review Syllabus, Q &A Review Research Project Paper and APA format Online Assignments Orientation: StatCrunch Software Assignment: Types of Research Design Assignment: Tables and Graphs Student to student to faculty interaction on Canvas Introduce Yourself Discussion: StatCrunch Study Hall Attend EV Meeting #2 on Fri., June 10 22:00, GMT Assignment: Central Tendency and Variability Discussion: StatCrunch Study Hall LO 2, 3 3 6/14-6/20 Normal Distributions and Standard Scores Reading: Chapter 4 Some Key Ingredients for Inferential Statistics Attend EV Meeting #3 (Instructor will broadcast from Aviano AB, Italy on June 17 th, 18 th, and 19 th ). Fri Sat/Sun , GMT Assignment: Distributions Discussion: Normal Distribution LO 3 5

6 4 6/21-6/27 5 6/28-7/4 Correlation, Regression, and Inferential Statistics Reading: Chapter 3 - Correlation and Prediction Confidence Intervals and t- Test Readings: Chapters 5, 6, 7, 8, & 9 Attend EV Meeting #4 on Friday, June 24 22:00, GMT Assignment: Correlation and Regression Student to student to faculty interaction on Canvas Discussion: StatCrunch Study Hall Attend EV Meeting #5 on Friday, July8 22:00, GMT +1. Readings: Chapter 5 - Introduction to Hypothesis Testing Chapter 6 - Hypothesis Tests with Means of Samples Chapter 7 - Making Sense of Statistical Significance: Effect Size and Statistical Power Chapter 8 - Introduction to the t Test: Single Sample and Dependent Means Chapter 9 - The t Test for Independent Means LO 9 LO 5,6 6 7/5-7/11 7 7/12-7/18 Analysis of Variance Readings: Chapters 10 & 12 Chi-Square Reading: Chapter 11- Chi- Square Tests and Strategies When Population Distributions Are Not Normal Assignment: t-tests 5.4 Discussion: StatCrunch Study Hall (topics include confidence intervals and t-tests. Readings: Chapter 10 - Introduction to the Analysis of Variance Chapter 12 - Applying Statistical Methods in Your Own 9.3 Review and Prepare Research Project Paper 6.2 Review videos: One-Way ANOVA 6.4 Discussion: Analysis of Variance 9.3- Review and Prepare Research Project Paper 7.2 Review videos: Chi-Square Discussion: Chi-Square LO 6, 7 LO 8,10 8 7/19-7/25 Sample Size and Power 8.1 Website review End of Course Evaluation LO 5, 11 6

7 9 7/26-8/1 Research Data Assignment: Research Document Final Exam LO 4, 11 Submitted by: Approved by O Godsey 7

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