IT 403 Statistics and Data Analysis
Summary
IT 403 discusses basic statistical methods and concepts of probability theory. The course topics include descriptive statistics, an introduction to statistical inference (confidence intervals and hypothesis testing) and linear regression models.
The students will learn to use the statistical package SPSS to analyze data sets from real-world applications.
The objectives of this course are:
to develop an understanding of the basic concepts of probability and statistics,
to help students to be informed and critical readers of quantitative arguments,
to provide sufficient skills to apply simple statistical techniques with the aid of a computer,
to appreciate the role of statistics in empirical research and scientific study,
and to gain flexible problem-solving skills applicable to unfamiliar statistical settings.
Texts
Required textbook: Moore, McCabe, and Craig, Introduction to the Practice of Statistics, 8th Edition, Freeman, 2007. Previous editions of the book are okay.
Grading
Grading Breakdown: Final Exam: 35%, Takehome Midterm: 25%, Projects: 30%, Quizzes: 10%.
Grading Scale: 94-100:A, 89-93:A-, 85-88:B+, 80-84:B, 75-79:B-, 70-74:C+, 65-69: C, 60-64: C-, 55-59: D+, 50-54: D, 0-49:F.
Late Penalties: One week late: -10%; two weeks late: -30%; three weeks late: -70%, four or more weeks late: -100%.
Prerequisites
College Algebra
Additional Regulations
Class registration is not allowed after the first week of class.
Students should keep backup copies of all submitted assignments.
Extra credit assignments are not given.
No late assignments will be accepted after final grades are submitted to the registrar.
An incomplete is hard to get in CDM. It is only allowed for a major illness (typically requiring hospitalization) or a death in the family. In any case documentation is required, and more than one half of the work must be completed for the course.
Students must test homework projects that are submitted on the CDM Course Online Submission Site to verify that they are properly submitted.If you have trouble submitting any project, email the completed project to the professor to prove that you completed it on time.
Students that must miss an exam must contact the professor in advance to reschedule the exam.
Being sick is not necessarily a reason to waive a late penalty.
Submitting a wrong version is not a reason to waive a late penalty for a project.
Textbook Chapter 1. Exploratory Data Analysis including boxplots and histograms.
Ch 1. Normal distribution, population mean and standard deviation, sample mean and standard deviation, standard error for the mean.
Ch 2. Scatterplots, correlation, simple linear regression.
Ch 3, 4. Design of experiments, sample surveys. Intro to probability.
Ch 4, 5. More about probability, expected value, theoretical standard deviation. Take-home midterm exam opens.
Ch. 5, 6. Law of large numbers, central limit theorem. Statistical tests, one-sample z-test, p-values.
Ch. 7. One-sample t-test, paired two-sample t-test.
Ch 8. Tests for proportions, confidence intervals for proportions.
Ch 7. Paired two-sample t-test. Independent two-sample t-test.
Ch. 9. Analysis of two-way tables. Review for final exam.
This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.
Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course
content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The
evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely
separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation.
Students complete the evaluation online in CampusConnect.
This course will be subject to the university's academic integrity policy. More information can be found at http://academicintegrity.depaul.edu/ If you
have any questions be sure to consult with your professor.
All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.
All students are required to manage their class schedules each term in accordance with the deadlines for enrolling and withdrawing as indicated in the University Academic Calendar. Information on enrollment, withdrawal, grading and incompletes can be found at http://www.cdm.depaul.edu/Current%20Students/Pages/PoliciesandProcedures.aspx.
Students who feel they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss their specific needs. All discussions will remain confidential.
To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that
you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296