Note: The instructor reserves the right to modify the information contained in this document at her discretion.

STA4163: Statistical Methods II

(3 Credit Hours) Summer 2014: Section A001 MTWT 12:00PM – 1:50PM BA 147

Instructor: Kelcey Ellis Phone: 407-823-6522 Email: kelcey@ucf.edu Office: TCII 211D Note: All course communication should be done through the conversations tool in webcourses.

Office Hours: Monday - Thursday from 10:30AM to 11:30AM

Additional hours available for appointments

Textbook: Statistics (12th Edition) by McClave and Sincich ISBN: 9780321755933

Required Materials: Scientific calculator (at minimum), printing capabilities, StatCrunch. Course Objective: (PR: STA2023 or STA3032) The primary purpose of this course is to provide students with additional methods of analyzing data. Course topics include but are not limited to: statistical models, estimation, tests of hypotheses, regression and correlation, analysis of variance, chi-square, and nonparametric methods.

Webcourses: Access to the webcourse component can be found under webcourses.ucf.edu. Within this webcourse you will find handouts, suggested homework solutions, and view your grades. It is your responsibility to check webcourses regularly and come to class prepared with the required materials.

Requirements of the Students: Students must follow the University standards for personal and academic conduct as outlined in The Golden Rule (www.goldenrule.sdes.ucf.edu). Students should be aware of and follow these policies of conduct. Please make sure your cell phones are turned off during lecture and exams.

Exam and Quiz Policy: Exams are closed book and closed notes, but one (8.5 x 11) formula sheet is allowed (front and back). Your formula sheet can contain formulas and examples. You are expected to bring one formula sheet, scientific calculator, probability tables, and a picture ID to every exam. You will not be allowed to take an exam if you are more than 10 minutes late. Headphones cannot be worn during exams and cell phones cannot be used as calculators. No Google glasses or other spyware allowed during exams. Exams will be brought to class after they have been graded. You may review your exams in class but then they must be returned to the instructor. All students whose exams are not returned to the instructor will have their exam grade changed to a zero. Exams will also be available to review during the instructor’s office hours for a one week period after the posting of grades. Any grade discrepancies must be discussed with me within one week of the grade posting. Six unannounced 20-point quizzes will be given throughout the term. Quizzes will be open notes and open book. Your best five quizzes will be used toward your course grade. Make-up Policy: Make-up exams are only offered in extreme circumstances (i.e.: death in the immediate family, military obligation, official university activity, religious holiday, etc.) determined at my discretion. If you cannot take an exam due to a documented excuse, I must be notified prior to the exam. All missed exams without appropriate reasons and/or documentation will receive a grade of zero. Make-up exams may be of a different format but will match the difficulty level of the class’ testing material. There are no make-up quizzes or assignments.

Note: The instructor reserves the right to modify the information contained in this document at her discretion.

Academic Honesty: As reflected in the UCF creed, integrity and scholarship are core values that should guide our conduct and decisions as members of the UCF community. UCF faculty members have a responsibility for your education and the value of a UCF degree, and so seek to prevent unethical behavior and when necessary respond to infringements of academic integrity. Providing information to another student or receiving information concerning exam or quiz content is considered cheating. Penalties can include a failing grade in an assignment or in the course, suspension or expulsion from the university, and/or a "Z Designation" on a student's official transcript indicating academic dishonesty, where the final grade for this course will be preceded by the letter Z. Turnitin.com: In this course we may utilize turnitin.com, an automated system which instructors can use to quickly and easily compare each student's assignment with billions of web sites, as well as an enormous database of student papers that grows with each submission. Accordingly, you may be expected to submit assignments in both hard copy and electronic format. After the assignment is processed, as an instructor I receive a report from turnitin.com that states if and how another author’s work was used in the assignment. For a more detailed look at this process, visit http://www.turnitin.com. Student Disability Policy: The University of Central Florida is committed to providing reasonable accommodations for all persons with disabilities. This syllabus is available in alternate formats upon request. Students with disabilities who need accommodations in this course must contact me at the beginning of the semester to discuss needed accommodations. No accommodations will be provided until the student has met with me to request accommodations. Students who need accommodations must be registered with Student Disability Services, Ferrell Commons Room 185, phone (407) 823-2371, TTY/TDD only phone (407) 823-2116, before requesting accommodations from the professor. Course Grade: The grading scale is outlined below. Exam dates will be announced in class. Any extra credit opportunities would be discussed in class.

STA2023 Review, 8.7, 9.6 and 10 Exam 1 100 points

Chapters 11 and 12 Exam 2 100 points

Chapters 13 and 14 Exam 3 100 points

Drop lowest quiz grade Quiz Grade 100 points

Case Studies 100 points

Total 500 points

Letter Grade Points Percentage

A 450 to 500 90 to 100%

B 400 to < 450 80 to < 90%

C 350 to < 400 70 to < 80%

D 300 to < 350 60 to < 70%

F Below 300 Below 60%

Important Dates: Memorial Day (no class) on Monday, May 26th, Withdrawal deadline on Thursday, June 5th, and last day on Thursday, June 19th

Note: The instructor reserves the right to modify the information contained in this document at her discretion.

Course Topics and Homework: Portions of the text may be omitted from the course. You are only responsible for the material we learn in class. The suggested homework problems that reflect this material are listed below. Homework is not collected nor graded but it is strongly recommended these problems are practiced. Solutions are posted on webcourses.

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STA2023 Review Introduction to statistics, definition of statistics, basic terminology. Inferences based on a single sample and two samples: confidence intervals and hypothesis tests comparing population mean(s) and proportion(s).

Suggested Homework #1: 8.139, 8.141, 8.148, 9.110 ( a and b), 9.122 (Use ), 9.123, STA2023 Review Quiz on webcourses under Assessments.

Section 8.7: Test of Hypothesis about a Population Variance

Inferences based on a single sample: confidence intervals and hypothesis tests for a population variance.

Suggested Homework #2: 8.108 (Practice using table), 8.109 (RR practice). 8.112 (Given data, practice hyp test), 8.115 (Entire set up, practice hyp test (at α = 0.01) to determine whether the variance in birth weights of babies delivered by cocaine-dependent women is different from 200,000 grams2), 8.116 (Conclusion w/Minitab output)

Section 9.6: Comparing Two Population Variances: Independent Sampling

Inferences based on two samples: confidence intervals and hypothesis tests comparing two population variances.

Suggested Homework #3: 9.91 , 9.94, 9.97, 9.133 (a) Is the variance of the measurements obtained by Instrument 1 significantly smaller than the measurements obtained by Instrument 2 (at α = 0.05)?

Chapter 10: Analysis of Variance: Comparing More Than Two Means

Designing an experiment, CRD, RBD, factorial experiments, and multiple comparisons of means.

Suggested Homework #4: 10.11, 10.13 – 10.16 (Assumptions), 10.22 (Complete ANOVA table and hyp test for (d) Observed significance level = p-value), 10.26, 10.30, 10.41 (a and b), 10.42 (a and b), 10.50, 10.59, 10.61, 10.66, Read Statistics in Action Revisited (pg 537: Roach example), 10.78, 10.80 (skip plotting), 10.85

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Chapter 11: Simple Linear Regression

Estimating and interpreting the slope and intercept, confidence interval and hypothesis test for β, coefficient of determination and correlation, and using the model for prediction and estimation.

Suggested Homework #5: 11.14, 11.34, 11.35, 11.108, 11.113 not b or d, 11.114

Chapter 12: Multiple Regression and Model Building

Regression with k quantitative x’s, interaction, quadratic, the complete second order model, qualitative (dummy), both quantitative and qualitative, and comparing nested models.

Suggested Homework #6: 12.6, 12.19 (with SAS output in webcourses), 12.32, 12.40 (not c), 12.48 (with SAS output in webcourses), 12.52, 12.56, 12.63, 12.70, 12.73, 12.76 (with SAS output in webcourses), Read Statistics in Action Revisited: Building a Model for Condominium Sale Price (page 692), 12.100, 12.104, 12.107

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Chapter 13: Categorical Data Analysis

One-way analysis (single qualitative variable) and two-way analysis (two qualitative variables).

Suggested Homework #7: 13.7, 13.10, 13.12, 13.23, 13.27, 13.39 a and b

Chapter 14: Nonparametric Statistics

Sign test, Wilcoxon Rank Sum test, Wilcoxon Signed Rank test, Kruskal-Wallis test, and Friedman’s test.

Suggested Homework #8: 14.4, 14.9, 14.15, 14.19, 14.20 c) Perform the normal approx. test, 14.36, 14.37, 14.39, 14.52 (not d), 14.55, 14.66

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