Statistics: Basic Statistical Methods 1

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. Credit not awarded for more than one of STAT 1410 or STAT 2430.

Open to Degree and PACE students

Basic Statistical Methods provides an introduction to basic statistical concepts and methods, with an emphasis placed on developing a thorough understanding of terminology, concepts and ideas. The goal of this course is for students to become statistically literate and learn how to apply this knowledge in diverse situations while providing the necessary foundation for their future study of statistics. Statistical software is used. Learning Goals 1. To learn how to describe and explore sets of data both numerically and graphically. 2. To learn the normal model for the distribution of a single variable and the linear regression model for the relationship between two variables. 3. To learn the basic ideas of good experimental design and good sampling design 4. To learn the fundamental ideas of statistical inference for means and proportions including both hypothesis testing and confidence intervals 5. To learn how to interpret confidence intervals and P-values in the context of real problems. 6. To learn how to be critical consumers of statistical studies reported in the media

Reading the text and participating in class will be essential parts of this course. Being an active participant in productive discussions and meaningful activities cannot happen if you are not “prepared and engaged”. Reading a technical text, is a skill that may be new too many of you...going forward, in your education and career, this is often your primary source of acquiring knowledge. Reading Assignment Questions (RAQ’s) will be assigned for each chapter and due the evening before the class when that chapter will be discussed. Class meeting times will be reserved primarily for discussions and activities around key concepts often generated by student questions and RAQ results, mixed with brief topic specific lectures. Instead of passively listening to a class-length lectures, you will be engaged in peer-to-peer discussions, iClicker questions, activities and problems. Time Commitment: 6-9 hours a week, beyond class time. Materials: iClicker app and access to MyStatLab Portal (includes eBook) Hardcopy of book is optional.

Grades will be determined as follows: Item ( %, Method, drops) RAQs (5, Participation,2) iClicker (5, Participation,2) MSL HW (15, Graded, 2) Quizzes (60, Graded, 1) Final Exam (15, Graded, 0) **Please note this is subject to change