Syllabus STA2023 – Introduction to Statistics I Fall 2018 1INSTRUCTIONAL TEAMCourse Coordinator Lab Coordinator Teaching Assistants Maria Ripol Stephanie Stine ~16 TAs - names and emails Email [email protected][email protected]available in Canvas Office Griffin Floyd 117C Griffin Floyd 117B Griffin Floyd 104 Tutoring Room Phone 352-273-2976 352-273-2975 office hours MWF 4thand 5thperiods or by appointment MTR 10:30am – 12 noon or by appointment In Tutoring Room (see Canvas for schedule) contact for: Questions about quiz and exam grades. General questions about the course not answered on the syllabus or the homepage in Canvas. Questions about lab. Incorrectly recorded grades on lab worksheet. Course material – In Tutoring Room (see Canvas for schedule) Website Course website in Canvas at 2MATERIALSLecture Notes– these are available two different ways. You can print them (for free) from the course homepage in Canvas, or you can purchase them in the Lab Workbook for Statistics: The Art and Science of Learning from Databy Megan Mocko and Maria Ripol, 4th edition, 2017, Pearson ISBN: 9780133860894. Lab Worksheets– needed for the lab portion of the course, and available to print from the course homepage in Canvas. Scientific Calculator- You will need a calculator with some basic statistical functions: mean and standard deviation. Many inexpensive calculators (around $15) have these functions; check the manual or look for the following symbols: x-bar and either s or σn-1. Graphing calculators are NOT ALLOWED on exams. Textbook:Statistics:The Art and Science of Learning from Databy Agresti, Franklin, Klingenberg, 4th edition, Pearson, 2017. Textbook can be purchased three ways: hardbound new or used ISBN13: 9780321997838; bundled with the Lab Workbook ISBN: 9780134567662; as an ebook from the publisher - see Canvas for details.
3COURSE DESCRIPTIONSTA 2023 is an introductory course that assumes no prior knowledge of statistics but does assume some knowledge of high school algebra. Basic statistical concepts and methods are presented in a manner that emphasizes understanding the principles of data collection and analysis rather than theory. Much of the course will be devoted to discussions of how statistics is commonly used in the real world. There are two major parts to this course: I Data – which includes graphical and numerical summaries to describe the distribution of a variable, or the relationship between two variables (chapters 1, 2 and 3, approximately 3 weeks), and data production to learn how to design good surveys and experiments, collect data from samples that are representative of the whole population, and avoid common sources of biases (chapter 4, 1 week.) II Probability and Inference – using the language of probability and the properties of numerical summaries computed from a random samples (chapters 5, 6 and 7, 4 weeks), we learn to draw conclusions about the population of interest, based on our random sample, and attach a measure of reliability to them (chapters 8, 9, 10 approximately 8 weeks).