Math 214, Statistics, Fall 2013
Section 92499
M 2:30 - 4:25 1S-115
W 2:30 - 3:20 1S-115
W 3:35 - 4:25 1S-103
| Instructor: | Joseph Maher |
| Office: | 1S-222 |
| Office hours: | M 12:20-2:15, W 12:20-1:10 |
| Webpage: | http://www.math.csi.cuny.edu/~maher/teaching |
| Email: | joseph.maher@csi.cuny.edu |
| Phone: | (718) 982-3623 |
Important Dates (http://www.csi.cuny.edu/currentstudents/academiccalendars/)
Text: Moore, McCabe, Craig, Introduction to the Practice of Statistics, 7th Ed., Freeman (2012), ISBN-13: 978-1429240321, ISBN-10: 1429240326.
Syllabus: Syllabus (http://www.math.csi.cuny.edu/~maher/teaching/2013/fall/stats/official-214-syllabus.pdf).
Homework: Homework will consist of online homework, and other homework assigned in class, quizzes, etc. Answers to odd-numbered exercises are in the back of the book. I highly recommend working jointly on homework problems with fellow students. The homework problems in bold on the syllabus/schedule have matching Webwork problems, which must be submitted online.
StatsPortal: Publisher's online homework system, available at http://courses.bfwpub.com/ips7e.php. Some homework problems in your textbook have matching StatsPortal problems, which must be submitted online.
Computer Lab: We will use the statistical software R for our computations. This software is freely available at www.r-project.org. See below for the computer lab assignments.
Exams: There will be three exams during the semester and a final exam at the end of the semester. You must take the final exam at the time scheduled by the university. You may not use a phone or calculator with symbolic algebra capability during exams. Review sheets from previous semesters are available at http://www.math.csi.cuny.edu/~poje/Teach/Reviews/index.html. NOTE: Problem 13 on the review sheet for Exam 1 will be covered on Exam 2 this semester.
- Exam 1: Wed 2 Oct
- Exam 2: Wed 6 Nov
- Exam 3: Wed 4 Dec
- Final: Mon 16 Dec
Grading: The course grade will be determined as follows: 45% Exams (15% each exam) + 10% StatsPortal HW + 20% Computer Labwork + 25% Final Exam. The single lowest in-class exam score will be replaced by the final exam score if that improves your total score. Without exception, you must pass the exams to pass this course, and you must take the final exam at the time scheduled by the university.
Method of Study: Optimal Method of Study: (1.) Come to class (attendance is mandatory). (2.) Read the relevant sections after class. (3.) Do the homework. (4.) Compare your solutions with other students. (5.) Come to office hours or the help room with any remaining questions.
Help: Email is the best way to contact me. Come and see me during my office hours! Free math tutoring is also available (http://www.math.csi.cuny.edu/Students/Tutoring).
Attendance: Attendance is mandatory.
Disability policy: Qualified students with disabilities will be provided reasonable academic accommodations if determined eligible by the Office for Disability Services. Prior to granting disability accommodations in this course, the instructor must receive written verification of student's eligibility from the Office of Disability Services, which is located in 1P-101. It is the student's responsibility to initiate contact with the Office for Disability Services staff and to follow the established procedures for having the accommodation notice sent to the instructor.
Integrity policy: CUNY's Academic Integrity Policy is available online at http://www.cuny.edu/about/info/policies/academic-integrity.pdf
Computer Lab Assignments:
Lab 1: Dealing with Data. Due Date: Sep 13
Lab 2: Histograms & Distributions. Due Date: Sep 20 For Lab 2, to install and load the ggplot package, do the following: First, install the package: >> install.packages("ggplot2") Then, load the library: >> library("ggplot2")
Lab 3: Probability with R. Due Date: Oct 4 For the last problem in Lab 3, you want to make a list by sampling 1 to 13, and then evaluate each number n in the list: If n < 10 then f(n)=n, else f(n)=10. Here is an example how to apply such a function to a list in R:
f = function(n) if(n<10){n} else{10}
x <- c(3, 12, 5, 10, 13)
sapply(x, f)
[1] 3 10 5 10 10Lab 4: Sampling Distributions in R. Due Date: Oct 18
Lab 5: Confidence Intervals in R. Due Date: Nov 1
Lab 6: Significance Testing with Random Samples. Due Date: Nov 15
Lab 7: Significance Testing with R. Due Date: Nov 29
Lab 8: Chi-Square and Regression. Due Date: Dec 13 Data for regression