Syllabus: Stat 203 Fall 2019
Basic Statistics with Calculus (Stat 203) Fall 2019 (Sections 001, 003, and 004)
(For course materials, click here).
Instructor: Sean Carver, Ph.D., Professorial Lecturer, American University.
Contact:
 office location: Don Myers Technology and Innovation Building (DMTI, East Campus), Room 208F
 email: carver@american.edu
 office phone: 2028856629
Course Description: A calculusbased introduction to basic statistics including data presentation, display and summary, correlation, development of least squares regression models, probability, independence, probability density functions, moments, use of moment generating functions, sampling distributions, confidence intervals, and tests of significance. Concepts are explored through simulation and the use of the calculus tools of finding maxima and minima of a function and the area under a curve. AU Core Foundation: Quantitative Literacy I. Usually Offered: fall and spring. Prerequisite: MATH221. Restriction: Registration not allowed in both STAT203, and STAT202 or STAT204. Note: Students may not receive credit toward a degree for both STAT203, and STAT202 or STAT204.
Stat 203 Versus Stat 202: Stat 203 is a flavor of Basic Statistics that deepens the presentation of certain topics with the use of calculus and more rigorous mathematics. Stat 203 shares the same timeline as Stat 202 (Basic Statistics) and includes all of the same topics, but goes into more detail in certain respects especially the derivation of least squares regression, the axioms of probability with nonfinite sample spaces, the relationship of the probability density function and the cumulative distribution function, expected values of random variables, and perhaps a few other things, notably more mathematical detail on confidence intervals and hypothesis tests. Also, I will not shy away from using in lectures and assigning problems that involve calculus (derivatives, integrals and infinite series) and other mathematics from precalculus. That said, the differences between STAT 203 and STAT 202 will only be a small part of the class. The most important parts of the STAT 203 curriculum are what it shares with STAT 202.
Word of Warning: The material gets progressively harder throughout the semester, and later topics build on earlier ones. The time/study requirements increase as the semester progresses.
To reiterate: Studying, and inclass, Expectations:
 Please note that this course is a 4Credit Core Course and is part of the University’s Foundation Courses in Quantitative Literacy. We cover a large amount of material in this course (see the weekly schedule provided below). To do well in this course you will need to devote a minimum of 4 to 6 hours per week to studying the material over and above the time spent inclass. The study of Statistics is cumulative in nature – that is every single class builds on, and presumes, your mastering of statistical concepts & techniques covered in the previous class/es. In order to keep up with the class you will need to study & practice the weekly materials and maintain regular attendance throughout the semester.
Prerequisite: MATH211 or higher, or permission of department. No prior knowledge of statistics is assumed.
Text for Class: Stats: Data & Models, Fifth Edition by Deveaux, Velleman, and Bock. Note the title of the text: there are two Statistics texts available with the same three authors, however the correct ebook comes free of charge with MyStatLab registration and registration for the course. A looseleaf printed copy can be optionally purchased via MyStatLab for additional money. A bound copy can be optionally purchased separately, but this is expensive. Bound rental copies are available online for a very reasonable price.
Learning Management Software: MyStatLab from Pearson. Can be purchased from the bookstore and available as a free two week trial. Access instructions will be handed out on the first day of class. You must register for the section you belong to (001, 003 or 004). You will need to upgrade your free access to full semester access. MyStatLab comes bundled with a subscription to the eTextbook we will use for the course. You will need this bundle to complete and turn in the required homework.
Instructions for logging into MyStatLab for the first time:
 Section 001 (meets at 8:10 am): carver05237 https://portal.mypearson.com/coursehome/handout/carver05237/Student_Registration_Handout_carver05237.pdf
 Section 003 (meets at 11:20 am): carver21374 https://portal.mypearson.com/coursehome/handout/carver21374/Student_Registration_Handout_carver21374.pdf
 Section 004 (meets at 12:55 am): carver61936 https://portal.mypearson.com/coursehome/handout/carver61936/Student_Registration_Handout_carver61936.pdf
Statistical Software: StatCrunch. StatCrunch is very easy to learn, and is a great pedagogical tool. StatCrunch (webbased software comes free with MyStatLab and is accessed through MyStatLab. You can also access StatCrunch from StatCrunch.Com but you may need to pay for access through this site. With AU credentials, you can access StatCrunch through https://statcrunch.american.edu/.
Please Bring A Laptops To Class! I will be demonstrating software in class with the idea that you follow along with your own computer. Additionally, I will be giving problems to solve in class that require a computer. You may borrow a computer from the library if yours is temporarily unavailable.
Learning Outcomes: At the end of this course you will be expected to
 understand the major concepts related to statistical reasoning and to statistical inferences for drawing such conclusions
 understand how these concepts are used in experiments and observational studies across many disciplines, and
 implement the methods yourself in statistical analyses. Work will be a balance between understanding the concepts underlying a method, implementation of the method, and interpretation of the results.
This course is divided into four related areas of study:
 Data collection – the theory and practice of study design.
 Data summary and exploration – which illustrates to us how the data actually behave.
 Probability and sampling theory – from which we determine how we expect the data to behave.
 Data analysis – which allows us to reconcile our expectations with the actual data behavior so that we can make statistical inferences and drawing conclusions.
Office Hours: Students are strongly encouraged to come to office hours if they need or want help. My office hours are tentatively scheduled, as follows (days and times may be adjusted throughout the semester, please come talk to me if you want to come but can't make those times):
 Regular Office Hours: Monday, Wednesday, Thursday: 10:00 AM  11:00 AM
 Hybrid Office Hours: Tuesday, Friday (tentative, see below)
 No office hours during holidays.
 My office is DMTI 208F.
Hybrid Office Hours: In the past, my office hours have been inconvenient for many students, and attendance has been poor. So I am going to try an experiment this semester. If the experiment isn't successful, we will make adjustments. I am going to still have Regular Office Hours, as listed above, but in addition, I am going hold Hybrid Office Hours, described here, that will be both in person and online. For hybrid office hours, we are going to try to use a tool called slack: https://slack.com/ which describes itself as a collaboration hub. During the first week of class, I will provide instructions for logging in. With slack we will be able to communicate, and students can ask questions for all to see. I can answer questions for all to see, and other students can chime in. On Tuesday and Friday, I will make sure I answer slack questions. On other days I may answer questions, too. The hybrid aspect comes in that if there are issues which need face to face time, we can make arrangements publicly over slack, so others can join. Private messaging is also available, as is posting images, etc. I am not yet sure what my availability will be for these facetoface meetings, but they will be arranged flexibly, so that those who want to come can come.
SI Leader: Evan Steinberg.
Tutoring through MATH/STAT tutoring center: Don Myers Building, Room 103, walkins welcome. See below, and http://www.american.edu/cas/mathstat/tutoring.cfm
Class times and locations:
 Section 001: Monday, Wednesday*, Thursday 8:10 AM  9:25 AM, Kerwin 302
 Section 003: Monday, Wednesday*, Thursday 11:20 AM  12:35 PM, DMTI 215
 Section 004: Monday, Wednesday*, Thursday 12:55 PM  2:10 PM, DMTI 215
 *Wednesday classes dismiss 15 minutes earlier.
Emergency Preparedness: In the event of an emergency, students should refer to the AU Web site http://www.american.edu/emergency and the AU information line at (202) 8851100 for general universitywide information. Information specific to this course during a prolonged closure of the university will be posted on Blackboard.
Tentative Weekly Plan: As mentioned above, this timeline is the same as the one used for most Stat 202 sections, please see Stat 203 Versus Stat 202 above for an explanation of the differences. I'll try my best to keep us to this schedule, however, some adjustments may be needed.
WEEK  FIRST DAY OF WEEK  HOMEWORK SETS DUE FIRST DAY OF WEEK  READING/LECTURE 

Week 1  Aug 26  No HW Due  Chapter 1: Introduction, STATS Starts Here
Chapter 2: Displaying and Describing Data

Week 2  Sep 02  H0, H1, H2  Chapter 3: Relationships Between Categorical Variables—Contingency Tables

Week 3  Sep 09  H3  Chapter 4: Understanding and Comparing Distributions.
Chapter 5: The Standard Deviation as Ruler and the Normal Model

Week 4  Sep 16  H4, H5  Chapter 6: Scatterplots, Association and Correlation

Week 5  Sep 23  H6  Chapter 7: Linear Regression

Week 6  Sep 30  H7  Chapter 8. Regression Wisdom

Week 7  Oct 07  H8  Chapter 10 Sample Surveys
Chapter 11 Experiments and Observational Studies

Week 8  Oct 14  H10, H11  Chapter 12 From Randomness to Probability
Chapter 13 Probability Rules!

Week 9  Oct 21  H12, H13  Chapter 14 Random Variables
Chapter 15 Probability Models

Week 10  Oct 28  H14, H15  Chapter 16 Sampling Distribution Models and Confidence Intervals for Proportions

Week 11  Nov 4  H16  Chapter 17 Confidence Intervals for Means
Chapter 18 Testing Hypotheses

Week 12  Nov 11  H17*, H18*  Chapter 19 More About Tests and Intervals

Week 13  Nov 18  H19*  Chapter 20 Comparing Groups

Week 14  Nov 25  HW??*  Chapter 20 Comparing Groups, continued

Week 15  Dec 02  H20*  Chapter 21 Paired Samples and Blocks

 *HW Sets 1721 have apparently not yet been created. Stay tuned!
Responsibility: There is a lot of material on the schedule listed above, and ultimately you are responsible for learning all of itby paying attention and asking questions during class, by reading the text, by doing the homework sets, etc.
Important Dates:
 Monday, August 26: First day of class.
 Monday, September 2: Martin Luther King, Jr. day, no class or office hours.
 Wednesday, October 2: Midterm Exam 1.
 Friday, November 1: Last Day to Drop Class.
 Wednesday, November 13: Midterm Exam 2.
 November 27 and 29: Thanksgiving Break. No class or office hours.
 Thursday, December 5: Last Day of Class.
 Early December: Final Exams (see below for specifics).
Final Exams:
 Please note that I will not be able to accommodate students who wish to switch their exam time with another slot that I am proctoring the exam.
 Please note that inconvenience with travel plans is NOT a valid excuse for not taking the final as scheduled.
 If you miss the final or any exam, you will need an excuse through the Dean of Students.
 An incomplete will ONLY be given under extreme circumstances. A student receiving an incomplete must be passing the class. If you miss the final exam, the only options available to me are to give you a zero for the final exam or an incomplete in the class.
 Section 001 (usually meets at 8:10 AM), your final exam: Mon, Dec 09, 2019, between 8:10AM10:40AM
 Section 003 (usually meets at 11:20 AM), your final exam: Mon, Dec 09, 2019, between 11:20AM01:50PM
 Section 004 (usually meets at 12:55 PM), your final exam: Thu, Dec 12, 2019, between 11:20AM01:50PM (NOTE: The start time for our final exam is different from the usual start of our class!)
Grading scheme:
PERCENTAGE RANGE  GRADE 

95%100%  A 
90%94.9999%  A 
87%89.9999%  B+ 
83%86.9999%  B 
80%82.9999%  B 
77%79.9999%  C+ 
68%76.9999%  C 
65%67.9999%  C 
55%64.9999%  D 
0%54.9999%  F 
Grading rubric:
ITEM  PERCENT 

Homework  15% 
Quizzes  0% 
Midterm Exam 1  25% 
Midterm Exam 2  25% 
Final Exam  25% 
Labs/Assignments  10% 
Rules:
 Collaboration on a homework or lab is OK, even encouraged! Exams are to be done individually.
Cell Phones and Other Media:
 Cell phones need to be silenced and put away during class. Personal use of electronic media during class time is highly distracting – it downgrades the quality of the classroom learning experience for everyone. Laptops (tablets, readers, etc.) should only be out during class time if they are being used for classroom activities. Please save texting, typing/sending emails, checking Facebook, etc. for outside of class time. If you need to attend to something urgently, it is OK to excuse yourself from the classroom.
Accommodations: Please let me know during the first week of classes if you have any special needs that require accommodations.
Incompletes: A grade of incomplete will only be given under extreme circumstances and will not be granted to any student who is failing.
Homework: Assigned, completed, and automatically graded through MyStatLab. MyStatLab has online help to assist with problems. An incorrect problem can be attempted again.
Quizzes: Quizzes will not be for credit and will be selfgraded. Bring a pen or pencil and something to write on.
Labs/Assignments: Periodically, there will be assignments or labs to complete at home, or in class, or both, depending on the assignment. Some of these labs, such as the first one, see this link, will have a writing component.
Exams: Exams may require a computer. You can borrow a computer from the library, if needed. In the past, I have allowed StatCrunch and calculator use on exam but not Google searches, access to this website, or use of your computer in any other way. I am considering rewriting some of the exams so that computer use is not necessary. Absences on exam days must be excused through the Dean of Students, who needs to send a letter to me indicating that they excuse your absence. If excused through the Dean of Students, you do not need to disclose the reason to me.
Participation: Periodically, I will assign labs to be completed in class. Some of them will include a writing component.
Attendance: You are expected to come to class, and stay until the end of class. I expect this, the department and the university expect this, and the board that accredits the university does, too. However, I understand that there are circumstances that warrant an absence. Please email or slack me if you miss class. If you miss an exam, you need to get an excuse through the Dean of Students.
Class time: Class time will be divided between lectures, quizzes, and labs. In addition, there will be plenty of class time devoted to working on homework with my supervision (active learning). You are permitted to access the book at any time during class, except during the nocredit quizzes and forcredit exams. Think of the nocredit quizzes as a dry run for the exams, so they will operate under the same rules, unless otherwise stated.
Class Etiquette: Please participate in class by asking questions when you do not understand something. Invariably other students benefit from these questions. Please engage in discussions, and please engage with the class, generally. I find it easier to give good lectures when students are asking questions, and engaging with the material.
Academic Integrity: Cheating is not acceptable and will not be tolerated. Consider this: in subtle ways, cheating to get a better grade on an exam can result in lowering the grades of some of your classmates. Certainly this is true when a specific curve is used to assign grades. Even when I don't use curves explicitly, they can be implicit in decisions about writing and grading exams. I will handle all cases of suspected cheating according to the policies of American University. Specifically, I am required to report cases of academic dishonesty to the Dean of the College of Arts and Sciences. Cheating is giving or receiving unauthorized assistance on exams, from other students or other people, from notes, from books, or from the web. AU’s academic code is found at http://www.american.edu/academics/integrity/
Support Services: A wide range of services is available to support you in your efforts to meet the course requirements.
 Mathematics & Statistics Tutoring Lab (Myers Building, room 103) provides tutoring in Mathematics and Statistics. Lab hours are MondayThursday 11 am – 8 pm, Friday 11 am – 3 pm, and Sunday 3 pm – 8 pm. Strongly recommended!!! http://www.american.edu/cas/mathstat/tutoring.cfm
 Oneonone tutoring is also available for math through Calc II and stats through Intermediate Statistics. Students may sign up for 45minute appointments, up to 2 times per week. They can schedule appointments at american.mywconline.net.
 Academic Support and Access Center (x3360, MGC 243) offers study skills workshops, individual instruction, tutor referrals, Supplemental Instruction, writing support, and technical and practical support and assistance with accommodations for students with physical, medical, or psychological disabilities. Writing support is also available in the Writing Center, BattelleTompkins 228.
 Counseling Center (x3500, MGC 214) offers counseling and consultations regarding personal concerns, selfhelp information, and connections to offcampus mental health resource.
 Sexual Assault Resources. It’s never the survivor’s fault. There are many people you can talk to if you or someone you care about has been sexually assaulted, including: AU's Office of Advocacy Services for Interpersonal and Sexual Violence (OASIS): http://www.american.edu/ocl/wellness/sexualassaultresources.cfm
Class Mascot: Meet Knoll, my pet rabbit. Knoll will serve as the mascot for our class! If you want to see more pictures of Knoll, check out his Instagram page: "knollisbusy".