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Statistics 5013: Statistics for Experimenters I Instructor: Dr. Carla L. Goad email: [email protected] Phone: 405-744-5684 Office: MSCS 301F

revised 1/2/19

Technical Support OSU IT Help Desk: 405-744-4357 [email protected] Online Classroom http://my.okstate.edu

Course Overview: In this course students learn the basics of probability, calculation of summary statistics, single and two population hypothesis testing and estimation, simple linear regression, and an introduction to ANOVA Course Objectives: Students will interpret experimental scenarios and translate the research questions into statistical hypotheses. Students will analyze data sets by hand or by using SAS software and will interpret the computer output relevant to the experimental scenario. Course Goals: My goals for the students in this course are for the students to achieve some basic analysis skills and competently interpret the statistical analysis of their own data and/or some research publications. The textbook for this course will be Statistical Methods, third edition, by Freund, Wilson and Mohr. Academic Press, ISBN: 978-0-12-374970-3. For this course students will also need a calculator which can perform univariate statistics. These are available at discount stores. Many calculators perform bivariate statistics and/or graphing functions. These additional calculator functions are not necessary for this course.

Prerequisite: The only prerequisite course is College Algebra or an equivalent course. Lecture Presentations: Material presentations for the course will be done via streaming video. Students will view a pre-recorded lecture presentation. Computer requirements are that the student has a computer with speakers, a media player that can play mp4 video, and a 256K (or faster) Cable or DSL Internet connection. Presentations will be about 45 minutes in length. Some are shorter, and some are longer. Students that are enrolled in the online course will have access to the Online Classroom site for the course so that they can obtain the links (access) to the video presentations of the course material. Notes and other material will also be posted in the Online Classroom for the students to access. Online Classroom: OSU uses the Brightspace course management system for the Online Classroom. For this course, access the Online Classroom by going to http://my.okstate.edu . You will need your O-Key logon id. If you do not know your O-Key logon, you will need to contact the OSU IT Help Desk using the above contact information.

Select the Online Classroom icon from the available applications. Recommended browsers for the Online Classroom are Firefox, Chrome, Safari, and Microsoft Edge. Once in the Online Classroom, you'll have a list of the OSU courses that you are enrolled in presented on the screen. Select the link for this course. (Note: Not all courses utilize the Online Classroom, so it is possible that other courses in this list do not have any online content posted) Once you have gotten into the Online Classroom for this course, locate the links for Course Home, Content, Discussions, Classlist, and Grades near the top of the screen.

Statistics 5013: Statistics for Experimenters I

revised 1/2/19

Course Home posts the latest news items for this course, for example, Exam info, announcements to the class. Content is the location within the Online Classroom you'll use the most. The links to this syllabus, schedule, lecture videos, notes, and handouts are found on this page. Discussions will contain postings from me and any/all members of the class. You'll be able to post questions about the homework or answer concept questions that I may post there. Please keep your postings to the point, avoid revealing person information such as grades, maintain polite correspondence, avoid using all caps since it is interpreted as shouting, and also avoid repetitive postings. If you have a question that pertains to your specific situation, you should email me directly and not post that in the Discussions. Classlist lists all of the students enrolled in this section of the course. Every other student enrolled can see your name and your email address. If you wish you can fill in some of the entries in your index so that others can learn more about you. Note that your okstate.edu email address is listed here. That is the address I'll use if I need to email you. If you choose not to use that as your primary email address, then you need to investigate how to forward those okstate.edu emails to your preferred email address. If you see a green dot next to someone's name on the classlist, they are presently logged into the Online Classroom though she/he may be working on another course. You'll find my name and email address in that list as well. Grades will contain your exam grades for the course. You can only see your grades and not everyone else's grades. Course Schedule: Available in the Online Classroom is a course schedule. At the top of the Content page are listed some handouts or links that will be available throughout the course. The Schedule and Homework page will appear there. Below that information are the Weekly topics. Our online week runs from Monday through Sunday. That is, new information will typically be available on Mondays. During an exam week, be certain that you budget your time so that you can complete the exam before the 3pm Friday submission deadline. I've positioned the exams in the schedule after the material that is covered on the exam. Notice that one lecture and homework must be completed before taking Exam 1 in Week 5. Notice also that new material appears in the same week as Exams 2 and 3 but after the scheduled exams. You should begin this material immediately after completing those exams. It will appear on the next exam. Students are expected to stay current to the week with the lecture presentations. I don't want you to get behind. I want you to do well in this course! Homework: Homework assignments from the text or from worksheets will be assigned to you after each lecture. You are expected to stay current in the homework assignments. Homework assignments are to be self-graded using information from the back of the textbook and/or online presentations of homework solutions. Questions and discussions about the homework will be handled via email and/or discussion board in the Online Classroom. Computer Usage: Some of the homework solutions or lecture presentations will contain computer output from SAS, a popular statistical programming package of international distinction. SAS requires an annual license purchased by universities and companies. It is not expected that students individually have acquired a license. Students with access to SAS will receive enough information to program SAS to produce results we are getting. In fact, students enrolled in this course have online access to SAS using VMware Horizon Client. See the handout Getting Started in SAS in the Online Classroom for detailed information.

Statistics 5013: Statistics for Experimenters I

revised 1/2/19

Exams: We will have three 75 minute exams each worth 100 points. For each exam you will be allowed to use your calculator, your Freund, Wilson and Mohr textbook (no other books), and one 8 1/2" by 11" sheet of notes. There will also be a 200 point 2 hour comprehensive final exam at the end of the course. Keep a copy of the note sheets from each of the three 75-minute exams since you will be turning in your note sheet with your exam. You will be able to use those three note sheets plus one new one for new material when you take the final exam. The material covered on each exam is specified on the schedule. Proctors (or Testing Centers) are required for all examinations. Exams are paper-based exams. There is to be no collaboration on any of the exams. Online Students will have deadlines for completion of each of the exams. You need a proctor or testing center. You MUST complete a Proctor Agreement form and return it to our office. To determine who is qualified to act as a proctor, please read the Proctor Qualifications. ProctorU and other online exam services are not an exam option for this course. For courses requiring a testing center, the University Assessment and Testing Office in the UAT Building at 1524 W. Admiral (charge is $20/exam). Call 405-744-5958 or 866-888-5166 4-5 days before the exam to schedule an appointment. The fee will be charged to your Bursar account. Off-campus students may use a testing center at any nearby college, university, community college or vocational-technical school. Fees vary from school to school. Feel free to find the center with the lowest fee in your area. Ask a representative at the testing center to complete the Proctor Agreement for you and return it to our office. Co-workers, associates, friends, other students, family members and neighbors are not acceptable proctors, regardless of their education or corporate positions. Proctor Agreement forms must be submitted to the Outreach office prior to Exam 1. Exams will be delivered to your proctor by Tuesday of an exam week with instructions for the administration and return of the exam to the Outreach office. Online students must complete the exams and have the exam proctor return it b y 3pm Friday of the exam week. You must have a proctor agreement form on file prior to the first exam week. Other questions involving online courses can be answered at the following College of Arts and Sciences (CAS) webpage. https://cas.okstate.edu/outreach/online-learning/online-learning-faq Exams will be graded as promptly as possible. Your grade will be posted on the Grades page of the Online Classroom, and exams will be emailed back to you. A printable key to the exam will be posted in the Essential Course Information Module on the Contents page in the Online Classroom. Grades: Exams

300

Final Exam

200

Total

500

3 @ 100 pts each

Grading Scale: There are 500 points available in the course. 450 (90%) 400 (80%) 325 (65%) 250 (50%)

A B C D

A final grade of Incomplete or “I” is given only in the event of a verifiable personal emergency.

Statistics 5013: Statistics for Experimenters I

revised 1/2/19

Course Topics • • • • • • • • • •

Characterization of Data Probability Sampling from a Normal Distribution Comparing Two Population Means Analysis of Variance Multiple Comparison Procedures (optional) Introduction to Nonparametric Methods (optional) Regression Correlation Contingency Tables

Please see the University Academic Affairs link below to view important dates during the semester and other University policies and services: https://academicaffairs.okstate.edu/sites/default/files/Spring%202019%20Syllabus%20Attachment.pdf .

Academic Integrity Oklahoma State University is committed to the maintenance of the highest standards of integrity and ethical conduct of its members. This level of ethical behavior and integrity will be maintained in this course. Participating in a behavior that violates academic integrity (e.g., unauthorized collaboration, plagiarism, multiple submissions, cheating on examinations, fabricating information, helping another person cheat, unauthorized advance access to examinations, altering or destroying the work of others, and fraudulently altering academic records) will result in your being sanctioned. Violations may subject you to disciplinary action including the following: receiving a failing grade on an assignment, examination or course, receiving a notation of a violation of academic integrity on your transcript (F!), and being suspended from the University. You have the right to appeal the charge. Contact the Office of Academic Affairs, 101 Whitehurst, 405-744-5627, academicintegrity.okstate.edu.

Statistics 5013: Statistics for Experimenters I Weekly schedule of Topics: Week 1: January 14 - 20, 2019 Introduction Measures of Central Tendency Measures of Dispersion Week 2: January 21 – 27, 2019 Graphs and Distributions Introduction to Probability Counting Techniques Week 3: January 28 – February 3, 2019 Discrete Probability Distributions Continuous Probability Distributions Week 4: February 4 – 10, 2019 Distribution of the Sample Mean Using SAS to Obtain Summary Statistics Introduction to Hypothesis Testing and Estimation Week 5: February 11 – 17, 2019 Sample Size Determination Exam 1 must be completed and returned to Outreach by 3pm February 15. Week 6: February 18 – 24, 2019 Inference about a Population Mean: Small Sample SAS Example for a Single Population Mean Inference about a Population Proportion Week 7: February 25 – March 3, 2019 Inference about a Population Variance Inference about a Difference Between Population Means: Dependent Samples SAS Example for Dependent Samples Week 8: March 4 – 10, 2019 Inference about Two Population Means: Independent Samples SAS Example for an Independent Samples t-test Week 9: March 11 – 17, 2019 Inference about Two Population Variances Inference about Two Population Proportions Week 10: March 18 – 24, 2019 Spring Break – No classes this week Week 11: March 25 – 31, 2019 Exam 2 must be completed and returned to Outreach by 3pm March 29. Introduction to Experimental Design and ANOVA (not included on Exam 2) Week 12: April 1 – 7, 2019 Multiple Comparisons – Least Significant Difference Using SAS: ANOVA Example

revised 1/2/19

Statistics 5013: Statistics for Experimenters I

revised 1/2/19

Week 13: April 8 – 14, 2019 Wilcoxon Signed Rank Test Kruskal – Wallis Test Introduction to Simple Linear Regression Week 14: April 15 – 21, 2019 Regression: Sources of Variation Using SAS for Simple Linear Regression Regression: Three Types of Predictions Week 15: April 22 – 28, 2019 Exam 3 must be completed and returned to Outreach by 3pm April 26. Correlation Analysis (not included on Exam 3) Week 16: April 29 – May 5, 2019 Contingency Tables: Test for Independence Week 17: May 6 – 10, 2019 Comprehensive Final Exam must be completed and returned to Outreach by 3pm May 10....