## Syllabus

**Course:** Math 183

**Title:** Statistical Methods

**Credit Hours:** 4

**Prerequisite:** Math 20C

**Catalog Description:** Introduction to probability. Discrete and continuous random variables; binomial, Poisson and Gaussian distributions. Central limit theorem. Data analysis and inferential statistics: graphical techniques, confidence intervals, hypothesis tests, curve fitting.

**Textbook:** *An Introduction to Mathematical Statistics and its Applications* (5th Edition), by Larsen and Marx. Published by Pearson (2012).

**Subject Material:** We will cover Chapters 1 – 6 of the textbook, time permitting.

**Homework:** Homework will be assigned on the course
homework page and should be completed by the the indicated due date.

- Homework is to be turned in by means of a drop box in the
**BASEMENT of AP&M**. You should make every effort to complete the homework assignments and seek help for problems you are unable to solve. .**Late assignments will not be accepted**- Selected problems on the assignment will be graded. To assist your grader, you should keep all problems in the same order as the assignment list and ordered vertically on your page. If a problem is omitted, it should still appear in the correct order. All work must be on full-sized notebook paper and all pages must be stapled together.
- Homework will be returned in discussion section.
- The grader is under no obligation to grade messy or disorganized homework.

(This includes homework that has not been stapled together.) *The upper right corner of each assignment must include:*- Your name (last name first)
- Your discussion section (A01, A02, etc.)
- Homework assignment number

**Exams:** There will be one midterm exam (in-class) and one final exam (location to be determined). See the course calendar for the specific dates.

- It is your responsibility to ensure that you do not have a schedule conflict involving the final examination.
*You should not enroll in this class if you cannot sit for the final examination at its scheduled time.* - Other Remarks:
- You may bring one 8.5 by 11 inch sheet of
*handwritten*notes with you to examinations. You may use both sides. (No photocopies!) *No calculators will be allowed during the examinations.*- You must bring a Blue Book to the exam.

- You may bring one 8.5 by 11 inch sheet of

**Regrades:** All graded material will be returned in the discussion sections. If you wish to have your homework or exam regraded, *you must return it immediately to your TA*. Regrade requests will not be considered once the homework or exam leaves the room. If you do not retrieve your quiz or exam during discussion section, you must arrange to pick it up from your TA within one week after it was returned in order for any regrade request to be considered.

**Grading:** Your course grade will be determined by your cumulative average at the end of the term and will be based on the following scale:

A+ |
A |
A- |
B+ |
B |
B- |
C+ |
C |
C- |
D |

97 |
93 |
90 |
87 |
83 |
80 |
77 |
73 |
70 |
60 |

We may adjust the scale to be more lenient, but we guarantee that the grade corresponding to a given percentage will not be lower than specified by the above scale.

Your cumulative average will be the best of the following two weighted averages.

- 20% Homework, 30% Midterm Exam, 50% Final Exam
- 20% Homework, 80% Final Exam

*you must pass the final examination in order to pass the course.*Since there are no makeup exams, if you miss the midterm exam for any reason then your course grade will be computed with the final exam counting 80% of your grade.

*Note:*

**Keep all of your returned homework and exams.**If there is any mistake in the recording of your scores, you will need the original assignment in order for us to make a change.

**Academic Dishonesty:** Academic dishonesty is considered a serious offense at UCSD. Students caught cheating will face an administrative sanction which may include suspension or expulsion from the university. It is in your best interest to maintain your academic integrity. (Click here for more information.)