Mocko 2023 F11

Mocko 2023 F11 - Syllabus for STA 2023 Introduction to...

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Syllabus for STA 2023 – Introduction to Statistics Fall 2011 1. Instructional Team Course Coordinator: Megan Mocko Lab Coordinator: Maria Ripol office: Griffin Floyd 117 B office: Griffin Floyd 117 C phone: (352)273-2975 phone: (352)273-2976 email: mmeece AT stat.ufl.edu email: mripol AT stat.ufl.edu Office Hours: MWF 10 to 11:30am Office Hours: MWF 7 th period Teaching Assistant Information: Lab Schedule Tutoring Room Schedule Email addresses for TAs 2. General Course Information THIS COURSE SATISFIES GENERAL EDUCATION CREDITS IN THE MATHEMATICAL SCIENCES. STUDENTS LEARN HOW TO SUMMARIZE DATA AND HOW TO MAKE APPROPRIATE DECISIONS BASED ON DATA. (This course is the general education category of M.) Course Description STA 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.)

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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, 5 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 7 weeks). Course Objective The primary goal of the course is to help students understand how the process of posing a question, collecting data relevant to that question, analyzing data, and interpreting data can help them find answers to real problems from their world. 3. Required Materials 1. Lab Workbook for Statistics: The Art and Science of Learning from Data—2 nd edition copies of the lecture notes worksheets for the Lab portion of the course 2. Statistics: The Art and Science of Learning from Data by Alan Agresti and Christine Franklin 2 nd edition, Pearson, 2009. 3. Scientific Calculator that has some basic statistical functions: mean and standard deviation. Many inexpensive calculators (around \$10 to \$15) have these functions; check the manual or look for the following symbols: x-bar and either s or n-1 . All of the more expensive graphing calculator have them as well, but it is not necessary to buy one of them for this class. 4. Course Website
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Mocko 2023 F11 - Syllabus for STA 2023 Introduction to...

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