Foundational course for students taking further quantitative courses. Exploratory data analysis, probability distributions, estimation, hypothesis testing. Introductory regression, experimentation, contingency tables, and nonparametrics. Computer software used. Prerequisites: Minimum Sophomore standing.
Course Description: The main goal of this course is for you to be statistically literate. The goal is not to memorize a lot of formulas and procedures, but to understand the thinking that goes into using data to understand the world, so that you can use statistical results, and basic statistical methods successfully in their field of study and in daily life. Prerequisites: Calculus required. Learning Goals: 1: Students should gain an understanding of and appreciation for the utility and limitations of data and statistical methods for solving real-world problems. 2: Students should gain an appreciation for the methods of data collection, including an understanding of potential pitfalls, biases, and ethical issues. 3: Students should gain facility with the terminology, notation, and tools generally found in an introductory statistics course. In particular, students should be comfortable reading and understanding an article citing summarized statistics, and be able to dissect it into relevant course-related components. 4: Students should demonstrate a basic understanding of the laws and rules of probability, and how they relate to statistics, particularly the ideas of randomness and statistical significance. 5: Students should demonstrate facility with basic statistical methods, including confidence intervals and hypothesis tests, and more importantly, students should understand when a particular method is appropriate, and how to appropriately interpret results in the context of a stated problem. 6: Students should be able to formulate and communicate solutions to problems in clear, grammatically correct, precise English.
Section Expectations: You will need the following materials for this class: 1. A Scientific Calculator ? A TI 84 is preferable 2. A good Internet connection 3. JMP --Statistical computing package: It is available to all UVM students for free download 4. A Homework Portal Code to the Pearson ?MyLab and Mastering? Homework Portal for our text. 5. Textbook or e-book**: Intro Stats, De Veaux, Velleman, Bock, 4th edition, Pearson/Addison Wesley, 2013. (Note: When you sign up for the homework portal you automatically have access to an e-book so there is no need to have a hard copy of the textbook unless that is your preference. That said, some students have found that they do prefer a hard copy of the book after all. ) 6. Commitment to stay on track. Although I?ll send you many reminders, online classes require more self-discipline with staying on deadline, and not falling behind. I can meet with you in person or on Skype, and I will help you in any way I can, but the online class does work best if you are a self-starter. If you think this could be difficult for you, consider a face-to-face class.
Evaluation: Grading: Your course grade will be determined by: Homework 40% of grade (On homework portal, and some 'hard-copy' assignments) Midterm 30% of grade (On the homework portal) Final Exam 30% of grade (Part on the homework portal; part by hand)
Course runs from to
Online Course (View Campus Map)