SYLLABUS

Course Title and Number: STAT 651 Section 100

Term: Summer 2021

Instructor

Name: Alan Dabney, Ph.D

Email address: [email protected]

Office location: Blocker 449C

Office hours: Monday 1pm CST and Tuesday 3pm CST (in Zoom)

Teaching assistant: Anthony Li

Email address: [email protected]

Office location: Blocker 422

Office hours: Wednesday 1pm CST (in Zoom)

Meeting Information

MTWThF 10:00-11:35am. All lectures will be delivered online. See our Canvas home page for Zoom links. Note that my office hours will also be online.

Course Description, Prerequisite, Textbook and Computer Software

Description: A non-calculus exposition of the concepts, methods, and usage of statistical data analysis; t-tests, analysis of variance, and linear regression. This class is intended for graduate students in other disciplines. It may not be taken for credit by statistics majors.

Prerequisite: MATH 102 or equivalent. Please read the other conditions for enrollment under course requirements.

Recommended Textbook: Introduction to Statistical Methods & Data Analysis by R. Lyman Ott and Michael Longnecker. 6th or 7th Edition. Duxbury

Computer Software: JMP version 14.3 (furnished to registered students at no additional cost) or later version (if available). Download JMP from the following link: https://www.stat.tamu.edu/jmpinstall. At that page, log in with jmpuser as username and JMP@21 as password. Also see the document “Install JMP – Stat 201_Guide_Su21.docx” under Files on Canvas. Also under Files on Canvas, see the instruction video called “JMP15_Install.mp4”.

Learning Outcomes

At the end of this course, students will

• distinguish sample and population

• recognize the data types and work with them accordingly

• organize the given data to analyze using JMP statistical software

• convert wording problems into a statistical problem

• choose the right method among the ones taught in this class to analyze the data taking the data types into consideration

• see if the methods learned in this class are sufficient to answer the research question or if more advanced classes are needed

• implement the right procedure in JMP software

• compare or contrast the hand calculations using statistical software

• interpret the outputs and translate statistical findings back to real life cases

The Course Website Login and Assessment

■ The course website will be visible in Canvas (canvas.tamu.edu) 2-3 days before the semester starts and email from Canvas will be sent at the same time.

■ Webassign will be used for assessment, testing and grading. Use the following link to log in: https://www.webassign.net/tamu/login.html. Click on “Log In @ Texas A&M College Station” button and log in with your UIN credentials. You might also read the document GettingStartedWithWebassign.pdf under Files on Canvas.

■ Canvas will be used to store the lecture notes, videos, datasets used in the class, other links (online sessions with collaborate, JMP software download, etc.) and discussion board. 

Lecture Notes/Videos and Question&Answer (Q&A) Sessions

■ The lecture notes and recorded videos are posted in Canvas.

■ You are expected to review the listed lecture notes, watch the related videos and attempt the current homework before attending office hours.

Course Grade

Homework                  20%

Review Homework     20%

Exam 1                        20% (Monday, June 14)

Exam 2                        20% (Wednesday, June 23)

Exam 3                        20% (Friday, July 2)

Exams

• All exams are cumulative and will cover all lecture notes/videos up to the exam, all related Q&As, homework and review homework.

• All exams will have multiple choice and fill in the blank type questions. You will either look at computer / software outputs to answer the questions or directly answer methodological questions. You will be given 95 minutes for each exam.

• All exams will be administered online in Webassign. Live proctoring will be done through Zoom. More instructions will be given prior to the exams.

• You can bring a formula sheet to each exam (1 page, 8x11 paper size only one side can be used. You can use the other side as a scratch paper) and your calculator (can also use excel).

MAKE UP POLICY:

■ The university rule on Attendance website Rule 7: http://student-rules.tamu.edu/rule07 will apply in general.

■ For homework submissions, do not wait until the due date. All homework for this class are posted ahead of time, so students are strongly advised not to wait until the last minute. Any excuse for missed / late submissions needs to be really something beyond your control that you experienced for a long time. If you fail to submit a homework assignment by the due date because of circumstances beyond your control as explained above, notify me in writing or by email (before, if feasible, otherwise within two working days after you return). If your absence is approved, I will notify you on how you may make up the missed assignment.

■ Preparing these exams take so much time in programming and the answer key shows shortly after the exam, so make sure to be there to take the exams at the scheduled times. If you must miss an exam because of a university excused absence or due to illness or circumstances beyond your control, notify me in writing or by email (before, if feasible, otherwise within two working days after you return). If your absence is approved, I will notify you on how you may make up the exam with a cumulative exam.

■ If you miss a homework assignment or an exam and your reason for missing the assignment or exam is not accepted, then you will receive a score of 0 for the assignment or exam. Make sure to review the FAQs for homework.

■ A temporary grade of I (Incomplete) at the end of a semester indicates that the student has completed the course with the exception of a major quiz, final exam, or other work. The instructor shall give this grade only when the deficiency is due to an authorized absence or other cause beyond the control of the student.

HOMEWORKS and REVIEW HOMEWORKS:

“Homework” will count for 20% of your grade, and “Review Homework” will count for 10% of your grade. Both assignment types will be done in Webassign, and two submissions will be allowed for each assignment. After the first Homework submission, you will see a green check for the correct answers and red cross for the incorrect answers. After the first Review Homework submission, you will not see green check or red cross. Before reworking the assignments for the 2nd time, you are advised to post your questions at the discussion board without specifying the answer or numeric numbers for the discussion. The last submission will count for the grade. The given due date is the absolutely last day/time to submit. Do not leave the submission or your questions until the last minute, frequently save when you are working on the homework or before submitting it in Webassign. Failing to submit by the due day/time will result in a grade of zero. NO exceptions will be made and NO excuses will be accepted since the homework is posted really early and there is extended time already given for the submission.

The letter grades according to your course average are as follows:

A:     90 - 100

B:     80 - 89

C:     70 - 79

D:     60 - 69

F:     < 60

LECTURE OUTLINE FOR SUMMER 2021

Week	Lecture Notes and Videos	Notes	Chapter
1	• Sampling, populations, histograms, sample means and medians   • Quantiles, boxplots, percentiles, variability, basic   probability, empirical rule, bell-shaped curves   • Computing normal probabilities, the q-q plot,   standard error of the mean, basic inference.   • Confidence intervals for the mean when the   population standard deviation is known, properties   of confidence intervals.   • Hypothesis testing, statistical power, p-values, never   accepting a null hypothesis   • Sample size calculations, paired comparisons,   student’s t, confidence intervals	1-5	1-6
2	• Wilcoxon signed ranks test, comparing two population means   • T-tests and comparing two population means   • Wilcoxon rank sum tests for comparing two   populations, testing for equal variances, effects of   outliers.   • ANOVA   • More ANOVA and Review	6-9	7-8
3	• EXAM 1: June 14   • Multiple comparisons   • Kruskal Wallis tests, tests for normality, more ANOVA   • Inference about a proportion, Comparing population proportions   • More on Comparing population proportions	10-12	9-10
4	• Chi-squared test for independence   • Simple linear regression   • Review   • EXAM 2: June 23   • Inference about slope, residual plots, R-square   • Outliers, Leverage, Correlation	13	10-12
5	• Correlation, confidence intervals for a regression line   • Heteroscedasticity, Confidence intervals for an actual response   • Comparing population lines - ANCOVA with equal slopes   • Quadratic curve and Comparing population lines -   unequal slopes ANCOVA   • Comparing population lines - ANCOVA with unequal slopes   • Advanced topics   • Review   • EXAM 3: July 2	14-18	12, 16

Important Notice:

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STATEMENT ON PLAGIARISM: As commonly defined, plagiarism consists of passing off as one's own ideas, words, writing, etc., which belong to another. In accordance with this definition, you are committing plagiarism if you copy the work of another person and turn it in as your own, even if you should have the permission of that person. Plagiarism is one of the worst academic sins, for the plagiarist destroys the trust among colleagues without which research cannot be safely communicated. If you have any questions regarding plagiarism, please consult the latest issue of the Texas A&M University Student Rules, under the section "Scholastic Dishonesty."

Academic Integrity Statement:

"An Aggie does not lie, cheat, or steal or tolerate those who do." The Aggie Honor Council Rules and Procedures are available at the web site: http://aggiehonor.tamu.edu.

Title IX and Statement on Limits to Confidentiality

Texas A&M University and the College of Science are committed to fostering a learning environment that is safe and productive for all. University policies and federal and state laws provide guidance for achieving such an environment. Although class materials are generally considered confidential pursuant to student record policies and laws, University employees — including instructors — cannot maintain confidentiality when it conflicts with their responsibility to report certain issues that jeopardize the health and safety of our community. As the instructor, I must report (per Texas A&M System Regulation 08.01.01) the following information to other University offices if you share it with me, even if you do not want the disclosed information to be shared:

• Allegations of sexual assault, sexual discrimination, or sexual harassment when they involve TAMU students, faculty, or staff, or third parties visiting campus.

These reports may trigger contact from a campus official who will want to talk with you about the incident that you have shared. In many cases, it will be your decision whether or not you wish to speak with that individual. If you would like to talk about these events in a more confidential setting, you are encouraged to make an appointment with the Student Counseling Service (https://scs.tamu.edu/).

Students and faculty can report non-emergency behavior that causes them to be concerned at http://tellsomebody.tamu.edu.