Registration: if you are not registered to / want to drop this course, talk to Mary Hinrichs, NW 113.
Department of Statistics Director of Undergraduate Studies: Amarjit Budhiraja, NW 105, 962-2189
The grade structure
| First Midterm | September 30, Tuesday, in-class | 20% |
| Second Midterm | November 6, Thursday, in-class | 20% |
| Homeworks | every class -- due next class | 20% |
| Pop-up quizes | about six during the semester | 10% |
| Final | December 16, Tuesday, 12:00 noon, NW 212 | 30% |
The results of the first midterm will be made available before the last drop date (October 6).
All the exams are required. All exams and quizes are closed book, no formula sheet allowed. Computers are not permitted during the exams, but calculators may be used in the simple math regimes (no cool extended functions). An additional review / problem solving session will be scheduled before each exam. Those students who may have specific requests for the exams (athletes, LDS) should address the Instructor in the beginning of the semester. Any student missing a midterm exam without providing a legitimate excuse is given a grade of zero on that exam. If a legitimate excuse is provided, the student will be allowed to take the analogous exam of another section. The grade will be given and ranked relative to that section. Students needing to be excused from the regularly scheduled Final Exam because of the 3 exams in 24 hrs must obtain a written Dean's excuse and must discuss the alternatives with the Instructor at least onbe month before the reguarly scheduled exam. Quizes will be given soon after large chunks of material (chapter of a book) will have been discussed in class. The quiz problems can also give you an idea of what the exam question could look like.
The homeworks are exercises in text and Excel exercises. They are due in the beginning of the next class unless explicitly indicated otherwise. No late homeworks are accepted. Missed homeworks will receive a grade of zero. Two written homeworks can be skipped -- use the allowance wisely along the semester (this also means that the two worst homeworks are disregarded in computing your overall homework grade). To receive a credit on the homework, you must:
No cell phones, newspapers, books in class please.
An important piece of learning Excel is the companion compiled by Radu Rosu, a visiting professor at UNC Statistics, at http://www.stat.unc.edu/teach/rosu/Stat31/Companion.html
All questions regarding the exam are to be taken up with the Instructor, and those about the homeworks, with the Instructional Assistant first, and then with the Instructor if needed. Getting some additional points is difficult as long as one of the primary concerns in grading is to guarantee that all works are graded unifromly and according to the same guidelines. There are no hard lines regarding conversion of the exam grades into letter scores. There are however clear outlines of the letter grades in terms of the performance in the course laid out by the University that will be used in giving the total grades; see http://ctl.unc.edu/hp1.html, about two thirds through the page. The grades for the quizzes and midterms, as well as the overall current standing, will be posted either on the course web page with a unique IDs assigned to each student, or on blackboard.
The Honor Code will be observed at all times in this course. You are encouraged to ask questions if you are not clear on anything regarding the Honor Code.
This class will participate in a Departmental Course Evaluation including course evaluation forms filled in in the end of the semester, and some videotaping along the way.
I may be out of town for a few days during the semester. An arrangement will be made with another instructor to give a guest lecture / proctor the midterm on those dates.
Some minor/technical updates to this course description are possible in the first days of classes. Those will be announced in class and made available on the web.
Syllabus
| Section of the book |
|
| Describing the Data | |
| 1.1, 1.2 | Describing Data Distributions: Graphically and Numerically |
| 1.3 | Normal Distribution |
| 2.1, 2.2, 2.3, 2.4 | Scatterplots, Correlation, Regression |
| 2.5 | Causation |
| Getting the Data | |
| 3.1, 3.2, 3.3, 3.4 | Collecting Data: Experiments and Sampling |
| Probability Theory | |
| 4.1, 4.2 | Randomness and Probability |
| 4.3, 4.4 | Random Variables: Distributions, Means, Variances |
| 4.5 | Probability Rules |
| 5.1 | Binomial Distribution |
| 5.2 | Central Limit Theorem |
| Statistical Inference | |
| 6.1 | Confidence Intervals |
| 6.2, 6.3, 6.4 | Hypothesis Tests |
| Advanced Topics | |
| 7.1 | Inference for a Mean via t-test |
| 8.1 | Inference for a Proportion |
| 9.1, 9.2 | Categorical data and inference for a 2-way Tables |
| 10.1 | Inference for Regression |
| 14.1, 14.2 | Rank tests |