Dr. Matthew Beckman
Chair of Undergraduate Studies
Department of Statistics
office: 316A Thomas Building
phone: (814) 863-1022
email: beckman [at] psu.edu
Yuji Samizo (Section 001)
office: 331 Thomas Building
email: yzs138 [at] psu.edu
Ame Osotsi (Sections 002 & 003)
office: 331 Thomas Building
email: auo141 [at] psu.edu
Section 001 (11:15am): Daniel Liu - cbl5122 [at] psu.edu
Section 002 (12:20pm): Sarah Rodgers - svr5337 [at] psu.edu
Section 003 (1:25pm): Gabriel Brutico - gab5267 [at] psu.edu
Regular office hours begin the second week of classes. Hours are scheduled as follows, but students may also schedule an appointment if it is not possible to meet during these times. Also, if we are not with a student the teaching team will be actively monitoring Piazza to answer questions online during office hours as well.
Day | Time | Who | Location |
---|---|---|---|
Monday | 11:00am - Noon | Dr. Beckman | 316A Thomas |
Monday | 2:20pm - 3:20pm | Daniel Liu (LA) | 320 Thomas |
Tuesday | 2:00pm - 3:00pm | Sarah Rodgers (LA) | 320 Thomas |
Tuesday (GSG) | 6:00pm - 7:30pm | Mario Hernandez (GSG Leader) | 210 Ferguson |
Wednesday | 12:50pm - 1:50pm | Yuji Samizo (TA) | 331A Thomas |
Wednesday | 2:30pm - 3:30pm | Dr. Beckman | 316A Thomas |
Thursday | 6:00pm - 8:00pm | Ame Osotsi (TA) | 331B Thomas |
Thursday (GSG) | 6:00pm - 7:30pm | Mario Hernandez (GSG Leader) | 210 Ferguson |
Friday | 11:00am - Noon | Dr. Beckman | 316A Thomas |
Friday | 12:15pm - 1:15pm | Gabriel Brutico (LA) | 320 Thomas |
GSG Leader: Mario Hernandez
Statistics: Unlocking the Power of Data by Lock, Lock, Lock Morgan, Lock and Lock
Textbook options:
WileyPlus is required for online homework, and includes the full ebook, video tutorials, and practice problems.
Course Webpage: https://mdbeckman.github.io/Teaching/AY2016-17/stat250/stat250-fall2016.html
Canvas (Grades): canvas.psu.edu
Piazza (Discussion Forum): https://piazza.com/psu/fall2016/stat250/home
WileyPlus (Homework; eBook; Videos): www.wileyplus.com
We will be using Piazza for class-related discussion and questions, to help you benefit from each other’s questions and the collective knowledge of your classmates, LAs, TAs, and professor. Questions can be posted to the entire class (for content-related questions), or privately to the teaching team. We encourage you to ask questions if you are struggling to understand a concept, and to answer your classmates’ questions when you can. Note that you can always post questions or comments to Piazza anonymously if you choose. Piazza may also be used for course announcements.
We will be using Piazza for class-related discussion and questions, to help you benefit from each other’s questions and the collective knowledge of your classmates and professor. Questions can be posted to the entire class (for content-related questions). I encourage you to ask questions if you are struggling to understand a concept, and to answer your classmates’ questions when you can. Note that you may choose to post questions or comments to Piazza anonymously if you wish. Piazza may also be used for course announcements.
Do Not use Piazza for issues related to your grade or other private matters (not even an instructor post); email those questions or comments to the instructor directly or discuss them in person.
Most issues about classroom content and activities can be posted to Piazza, but you should use email (or a conversation in person) for all personal or private matters.
Learning outcomes will be assessed based on performance in each of the following categories accompanied by their impact on the overall grade:
Category | % |
---|---|
Clicker (MF Class) | 2% |
Piazza Participation | 3% |
Lab | 10% |
Homework | 10% |
Project | 15% |
Midterm I | 15% |
Midterm II | 20% |
Final Exam | 25% |
Grades will be updated on Canvas after each exam.
Final letter grades will be determined as follows:
A : 93-100%
A-: 90-92%
B+: 87-89%
B : 83-86%
B-: 80-82%
C+: 77-79%
C : 70-76%
D : 60-69%
F : < 60%
We will use i>clickers throughout this course. Clicker questions will be multiple choice, and usually more conceptual, rather than computational. In class, you are not expected to always know the right answer, so credit is awarded simply for clicking in. However, it is to your benefit to try to get the right answer; the point is to think and actively engage with the material while it is being presented. Clicker grading will begin 8/31/16. Students that participate in at least 50% of the clicker questions for the semester will earn full credit for the “Clicker (MF Class)” grade; extra credit will be awarded to students that participate in more than 50% of the clicker questions. Clickers may not be shared, and may only be used by the person to whom it is regiestered. This is an academic integrity issue and failure to comply will result in a minimum consequence of a 0 clicker grade for everyone involved.
Labs are Wednesdays in Boucke. The primary goals of the labs are to (1) teach you how to use statistical software, and (2) offer valuable hands-on experience doing statistics in a supervised setting. If you need to miss a lab you must notify the instructor and TA with a legitimate excuse no less than 24 hours before the lab to be missed, and the lab will need to be completed on your own and turned in to your TA before the next lab. Canvas quizzes will be used to assess topics covered in the lab. The quiz must be taken in class in your appointed classroom (IP filters and access by section is enforced by Canvas). Your lowest lab score will be dropped at the end of the semester.
Weekly homework assignments are due on Fridays before class. Students are encouraged to collaborate on homework, but make sure you try the practice problems and graded problems on your own first in order to prepare you for exams. Homework will be assigned after each class, and is shown on the semester schedule on the STAT 250 course homepage. Late homework is accepted for half credit. Your lowest homework score will be dropped at the end of the semester.
Homework will be comprised of two parts: practice problems and graded problems Only the graded problems count towards your homework grade; the practice problems are purely for your own benefit. If you are struggling with the graded problems, we recommend doing the practice problems first since these are similar to the graded problems and have full solutions available in WileyPlus.
The semester project provides an opportunity to combine everything a student has learned in the course for use in a realistic application. Students are required to work in teams for the semester project. The project will have several phases with deadlines throughout the semester in order to motivate consistent progress. More details about the project will be provided as the semester develops.
Piazza participation is graded strictly for participation. In order to earn full credit, each student should make 2 or more substantive posts per week related to the content of the course; at least one post each week should be a reply to another student’s post. You may still post anonymously if you wish; grading will utilize Piazza meta-data that can be accessed only by an instructor.
There will be two midterm exams in class, and a final exam. These exams will be closed to all materials except for a non cell-phone calculator and one (Exam 1), two (Exam 2), or three (Final) single-sided 8 ½ 11 pages of notes. Exams are mandatory, and must be taken at the given time. Unavoidable legitimate reasons for not being able to take the exam must be approved by Dr. Beckman at least 24 hours before the beginning of the exam. Excuses submitted less than 24 hours before the exam may not be accepted; excuses submitted after the start time of the exam will not be accepted. Re-grading requests may be made within one week of when the graded exam is returned, will be honored only if points were tallied incorrectly or if your answer is fully correct but was marked wrong.
The official course description is available in Penn State’s University Bulletin linked here, but a recent version is reproduced below for your convenience.
STAT 250 Introduction to R (3) STAT 250 is a standard first course in statistics, with an emphasis on applications and statistical techniques of particular relevance to the biological sciences. Students who have successfully completed this course will understand basic concepts of probability and statistical inference, including common graphical and numerical data summaries; notions of sampling from a population of interest, including the sampling distribution of a statistic; construction and interpretation of confidence intervals, test statistics, and p-values; and connections between probabilistic concepts such as normal distributions and statistical inference. They will recognize various types of data, appropriate statistical methods to analyze them, and assumptions that underlie these methods.
In this course we’ll learn how to effectively collect data, describe data, and use data to make inferences and conclusions about real world phenomena. After finishing this course, you should be able to:
My goal in teaching this class is to help you learn statistics and help you succeed in this course. Here are several suggestions to help you succeed:
The Eberly College of Science Code of Mutual Respect and Cooperation embodies the values that we hope our faculty, staff, and students possess and will endorse to make the Eberly College of Science a place where every individual feels respected and valued, as well as challenged and rewarded.
Academic dishonesty is not limited to simply cheating on an exam or assignment. The following is quoted directly from the “PSU Faculty Senate Policies for Students” regarding academic integrity and academic dishonesty:
Academic integrity is the pursuit of scholarly activity free from fraud and deception and is an educational objective of this institution. Academic dishonesty includes, but is not limited to, cheating, plagiarizing, fabricating of information or citations, facilitating acts of academic dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students.
All University and Eberly College of Science policies regarding academic integrity/academic dishonesty apply to this course and the students enrolled in this course. Refer to the following URL for further details on the academic integrity policies of the Eberly College of Science: http://www.science.psu.edu/academic/Integrity/index.html. Each student in this course is expected to work entirely on her/his own while taking any exam, to complete assignments on her/his own effort without the assistance of others unless directed otherwise by the instructor, and to abide by University and Eberly College of Science policies about academic integrity and academic dishonesty. Academic dishonesty can result in assignment of “F” by the course instructors or “XF” by Judicial Affairs as the final grade for the student.
Penn State welcomes students with disabilities into the University’s educational programs. If you have a disability-related need for reasonable academic adjustments in this course, contact Student Disability Resources (SDR; formerly ODS) at 814-863-1807, 116 Boucke, http://equity.psu.edu/student-disability-resources. In order to receive consideration for course accommodations, you must contact ODS and provide documentation (see the guidelines at http://equity.psu.edu/student-disability-resources/guidelines).
This syllabus is subject to change as circumstances warrant; all changes will be distributed in writing (e.g. electronically).
This document was last updated on the following date:
## [1] "2016-09-06"
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