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Course Description
Course Description
Probability theory is the mathematical study of randomness. Statistics is the science of obtaining information from data. Because data are frequently modeled as arising from a random process, probability is central to the mathematical theory of statistics. This course will provide an introduction to both probability and statistics, focusing on applications.
We will cover most of chapters 1-25 of the textbook. Because Math 11 students have seen calculus, we will also discuss some material on continuous probability that is not in the textbook. A list of what topics will be covered each day is posted under the Calendar page.
Textbook: Stats: Data and Models by De Veaux, Velleman, and Bock.
- You need to have the 5th edition of the textbook. Please note that other edition of the textbook has different numbers in a few of the problems and is not suitable for this course.
You have three options for acquiring access to the textbook:
- You could purchase/rent a physical textbook from the bookstore or any online retails.
- You could rent an electronic version of the textbook for $49 by going to THIS LINK. If you choose this option, you will not have access to MyStatLab and you will have access to the e-book only until the end of the quarter.
- You can rent an e-book plus MyStatLab. If you choose this option, you will have access tothe e-book only until the end of the quarter. You can purchase this code directly in Canvas for $79.
- If you go through Canvas, you can get a free trial for 14 days before you must commit to paying the $79.
- To rent the e-book through Canvas, select "MyLab and Mastering" from the menu in Canvas, click on the yellow button "Open MyLab & Mastering", accept the License Agreement, and either sign in with your Pearson account or create a new account if you do not have one. You should then see an option to purchase access to the e-book for $79.
Lectures and Discussion sections
Lectures and Discussion sections
All lectures, discussion sections, and supplemental instructions will be delivered through Zoom. The recordings of those meetings will be posted on Canvas for later review. Please check the Home page and Canvas for the links to these Zoom meetings.
Individual Homework (15%)
Individual Homework (15%)
First and foremost, late homework will not be accepted and there will be no exception to this rule. If you fail to submit your homework before the deadline, then you will automatically receive a zero for that assignment. Please do not contact the instruction staff to ask for leniency!
The weekly homework assignments for this course are done online through MyStatLab and due every Wednesday at 11:59pm, starting from Week 2. There will be nine (9) individual homework assignments in total. You can get access to MyStatLab from Canvas.
Please work carefully and show the steps in your calculations, not just the final answer.
Computer Labs (20%)
Computer Labs (20%)
In addition to the weekly homework assignments, there will be eight computer lab assignments due on Fridays (with the exception of Lab 1, which due on the Monday of Week 2). These assignments must be submitted by 9:00 pm on the due date. You will submit your assignments online using Canvas.
Statistical Software: You will use the statistical software Minitab for the computer lab assignments. This software has been installed in the computer labs in rooms B325, B349, and B432 in the basement Applied Physics and Mathematics.
- You also have the option of downloading a copy of Minitab to your personal computer. Instructions for doing this are provided in Canvas.
- If you want to use a Macintosh, you will have to use Minitab Express instead of Minitab. The labs can be completed using Minitab Express, though this is inconvenient in a couple of places.
Graphing Calculators: Although a graphing calculator is not required for the course, it is likely to be helpful. Having a graphing calculator avoids the need to use tables for statistical inference. Graphing calculators will be permitted on exams.
Late policy: Computer lab assignments will be accepted up to one hour late for a 1-point penalty (to allow for computer glitches at the time of the deadline), but labs completed more than one hour after the deadline will not be accepted.
- The only exception is Lab 1, which will be accepted up to one week late for a 1-point penalty.
- Other accommodations will be made only under extraordinary circumstances.
- Please understand that accepting late work in less extreme cases is unfair to other students.
MIDTERM Exams (15% each)
MIDTERM Exams (15% each)
There will be two midterms. The midterm exams will be take-home and timed. The midterms will take place during regular lecture times. You will have 48 hours to complete the exam and upload your work to Gradescope.
The exams are open resources (you many use any materials you have). However, you have to complete the exam on your own. Any reference outside the course materials must be cited appropriately.
- At 11:50pm of the exam day, the exam will be released on Canvas for everyone.
- Important: failure to submit the exam on Gradescope by the due date means you will receive a zero for the exam.
There will be no make up exam! It is your responsibility to ensure that you do not have a schedule conflict involving the exams.
- The first midterm will be available on Friday, April 24 at 11:50pm and due Sunday, April 26 at 11:59pm (Week 4)
- The second midterm will be available on Friday, May 22 at 11:50pm and due Sunday, May 24 at 11:59pm (Week 8)
FINAL EXAM (35%)
FINAL EXAM (35%)
The final exam will be held from Monday to Wednesday of Week 11 on Wednesday, June 10, 3:00pm - 6:00pm, covering all materials from the course.
The exam is open resources but you have to complete the exam on your own. Any reference outside the course materials must be cited appropriately.
- Similar to the midterm, you will have 48 hours (2 days) to complete the exam and submit your paper to Gradescope
- At 5:50pm of Monday June 08, the exam will be released on Canvas for everyone.
- Important: failure to submit the exam on Gradescope by 6:00pm of Wednesday, June 10 means you will receive a zero for the final, and thus, an automatic failure grade.
Grade Policy
Grade Policy
Your grade will be based on the scores of the homework, participation, two midterms, and the final exam. It will be the maximum of the following three schemes (namely, you may replace either the lower midterm score or the homework score with that of the final) :
- Score 1 = 20% Computer Lab + 15% Individual HW + 15% 1st Midterm + 15% 2nd Midterm + 35% Final
- Score 2 = 20% Computer Lab + 15% Individual HW + 15% Best Midterm + 50% Final
- Score 3 = 20% Computer Lab + 15% 1st Midterm + 15% 2nd Midterm + 50% Final
You must pass the final examination (scoring at least 50%) in order to pass the course. Since there is no makeup exam, if you miss a midterm exam for any reason then your course grade will automatically be computed using the second method. The letter grade you receive at the end of the course will be based on the following scale:
The final scores may be adjusted to determine the letter grades. However, the letter grade corresponding to a given percentage will never be lowerthan specified by the above scale.
Regrade Policy
Regrade Policy
The scores for the individual assignments are available on MyStatLab shortly after the due date. We shall grade your exams using Gradescope. All graded materials will be posted on Gradescope.
If you find an error/inconsistency on any graded material, you must immediately request a regrade through Gradescope. All regrade issues must be resolved within THREE DAYS after the score is published. Once the three-day period is over, the score will become final and any late requests will not be considered.
In Week 10, grades will be imported over to Canvas, and only the scores posted on Canvas will be computed toward your final score percentage. You must keep all of your graded materials and check that the scores are consistent. If there is any inconsistency in the recording of your scores, you must inform the instructor or TA before the end of the Final Exam week of the quarter to resolve recording errors. Questions regarding missing or incorrectly recorded scores posted after Sunday, June 14 will have to wait until the Summer 2020 quarter (in July).
Academic Honesty and Attendance Policy
Academic Honesty and Attendance Policy
As a student of UC San Diego, you have agreed to abide by the university’s academic honesty policy. Academic integrity violations will be taken seriously and reported immediately. Violation of such policy may result in failing the class, suspension, and even expulsion from the university. Students are expected to attend classes regularly. Cell-phone and all electronic devices must be turned off during lecture time, unless being used for taking note. A student who is absent for an excessive amount of times may be dropped from the class. Further information regarding Academic Integrity policy are available under the "Links" button above. You should make yourself aware of what is and is not acceptable by reading this document. Ignorance of the rules will not excuse you from any violations.
Key facts about academic integrity related to our course:
- You may consult other students, the instructor, or TAs while formulating your ideas on homework problems. However, you must write your final homework solutions by yourself, based on your own understanding.
- You may not copy or paraphrase solutions from another student or from any other source. If you consult any sources other than your textbook or discuss the problems with anyone other than the instructor or TA, you must acknowledge this on your homework/exam.
- You may not post your homework or lab solutions online where they could be found by future Math 11 students. If your instructor posts homework solutions, you may not show those solutions to future Math 11 students, or post them online.
Accommodations
Accommodations
Students requesting accommodations for this course due to a disability must provide a current Authorization for Accommodation (AFA) letter issued by the Office for Students with Disabilities (OSD). If you have an AFA letter, please schedule an appointment with your instructor within the first three days of class to ensure that reasonable accommodations can be arranged. For more information, see HERE.
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