IT 223 Data Analysis
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Summary
The aim of the course is to illustrate simple statistical methods and basic 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 the statistical package SPSS and use it to compute statistical analyses of 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: Introduction to the Practice of Statistics, Seventh Edition, by D.S. Moore and G.P. McCabe (2010). Previous editions are accepted.
See the course site for a more detailed course syllabus and notes about SPSS.
Grading
The final grade has the following components:
Quizzes (20%):
Homework assignments (50%): Weekly assignments including small group projects. Late submissions will be accepted no later than three days after the due date. Notice that a 20% point penalty will be applied for late submissions. Extensions may be granted only for exceptional reasons. Requests for extensions must be received BY EMAIL before the due date.
Final exam (30%): The final exam will be cumulative. The test will be proctored and students will be allowed to use a limited amount of notes during the exam. Students should bring a simple calculator (no phones are allowed).
Students receiving more than 90% of possible points are guaranteed at least an A-, more than 80% at least a B-, more than 70% at least a C-, and more than 60% at least a D.
Prerequisites
MAT130 or instructor's consent
Scientific Inquiry Learning Goals
Courses in the Scientific Inquiry Domain are designed to provide students with an opportunity to learn the methods of modern science and its impact in understanding the world around us. Courses in this domain are designed to help students develop a more complete perspective about science and the scientific process, including:
- An understanding of the major principles guiding modern scientific thought.
- A comprehension of the varying approaches and aspects of science.
- An appreciation of the connection among the sciences and the fundamental role of mathematics in practicing science.
- An awareness of the roles and limitations of theories and models in interpreting, understanding, and predicting natural phenomena.
- A realization of how these theories and models change or are supplanted as our knowledge increases.
Scientific Inquiry Learning Goals
Exploratory data analysis. Analyzing univariate distribution using graphs (histograms, bar charts, pie charts, and boxplots) and summary statistics for center and spread.
Density functions and normal distribution. Normal distribution, use of standard normal tables, normal quantile plots, normal approximation to empirical distributions.
Data Relationships: Scatter plots and correlation. Introduction to regression analysis. Model fitting and diagnostic, residual analysis.
Design of experiments, observational studies. Sample surveys.
Randomness and the language of probability. Probability rules. Random variables, expected value and variability.
Toward statistical inference. Sampling distribution for sample averages. Estimating averages using confidence Intervals.
Sampling distributions for proportions. Estimating proportions using confidence intervals.
Hypothesis Testing. Significance tests on averages and proportions.
Hypothesis Testing. Significance tests on averages and proportions.
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