Slide Number 1Slide Number 2Textbook: Kiess & Green Statistical Concepts for Behavioral Sciences, 4th EditionSlide Number 4Slide Number 5Slide Number 6Slide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28Slide Number 29Slide Number 30Slide Number 31Slide Number 32Slide Number 33Slide Number 34Slide Number 35Slide Number 36Slide Number 37Slide Number 38Slide Number 39Slide Number 40Slide Number 41Slide Number 42Slide Number 43Slide Number 44Slide Number 45Slide Number 46Slide Number 47Slide Number 48Slide Number 49Slide Number 50Slide Number 51Slide Number 52Slide Number 53Slide Number 54HP-340: Fall 2016Health Behavior Statistical MethodsHP 340LLecture 1Introduction to StatisticsChapter 11HP-340: Fall 2016Instructor: Farzana Choudhury, Ph.D.e-mail: [email protected] hours: e-mail to make an appointmentTAs: Soo In Bang: [email protected] Wei: [email protected] Hours: make an appointmentInstructor and TAs2HP-340: Fall 2016Textbook: Kiess & GreenStatistical Concepts for Behavioral Sciences, 4thEdition Supplemental Text: OpenIntro Statistics This textbook is available for free online at www.openintro.org/stat/textbook.php. There are many supplemental materialswith this text, including videos and labs. We will supplement the lectures with examples from this textbook.Textbooks3HP-340: Fall 2016 Lectures will follow the textbook Chapter reading for each lecture indicated on syllabus Read corresponding sections before each lecture! Lecture slides will be posted the day of the lectureLectures and Readings4HP-340: Fall 2016 http://onlinestatbook.com Online Statistics Education: An Interactive Multimedia Course of Study Developed by Rice University, University of Houston Clear Lake, and Tufts University Will occasionally use these demonstrations to illustrate topicsAdditional Online Resource5HP-340: Fall 2016 Overall course grading: Homeworks: 30% Midterm Exam: 35% Final Exam: 35% Class participation: Not formally graded Expected to participate in in class activities such as working through problems Expected to contribute to BlackBoard discussion forums: asking questions, commenting, and/or answering classmates’ questionsGrade Breakdown6HP-340: Fall 20167 Homework will be available for download from BlackBoard Assigned after each topic is covered and will typically be due the following week (date noted on assignment) Homework must be turned in at the beginning of class on the day it is due Turn in both a paper copy and upload a digital copy to BlackBoardHomeworkHP-340: Fall 20168 TA will grade and return the paper version Late homework: Accepted for grading only with a legitimate excuse, e.g.,documented illness, travel, family emergency Unexcused homework will be accepted, but not graded and no points awardedHomeworkHP-340: Fall 20169 Some homework will require the use of SPSS (statistical software) Student version with limited license available: https://estore.onthehub.com SPSS Statistics 24 GradPack Comes in 6 mon and 12 mon licenses Need version “Statistics Base, Advanced Statistics, and Regression” Tutorials available at: http://www.spss-tutorials.com/ http://calcnet.mth.cmich.edu/org/spss/toc.htm https://www.ibm.com/support/knowledgecenter/SSLVMB_24.0.0/statistics_spsstut_project_ddita-gentopic1.htmlHomeworkHP-340: Fall 201610 Show all of your work All steps that led up to your answer must be shown Write clearly Sloppy/illegible work will receive no credit For questions requiring an interpretation or conclusion, phrase these in your own words Students suspected of plagiarizing (i.e., having the exact same wording of a free response answer) will receive no credit for that problemRules for HomeworkHP-340: Fall 201611 Homework will be submitted as an electronic file via blackboard Scan or take a picture of your written work Please make sure the scan/picture is clear! PDF, Word documents, or other electronic formats are acceptable Put all work into a single file for uploading on blackboard If you have multiple pages/pictures of your work, please consolidate into a single file (e.g., merge multiple PDFs into a single PDF, or paste pictures into a Word document) Multiple pages of the homework may become lost and will not be graded.Rules for HomeworkHP-340: Fall 201612 Adopt “growth mindset“; be open and inquisitive Don’t just think “I was never good at math” when approaching a course in statistics Ask (Instructor, TA, classmate, BlackBoard) if something is not clear. We are here to help! Keep up with material by reading the textbook But don’t get spooked by chapters aheadTips for Success in Studying StatisticsHP-340: Fall 201613 How to study:  Don’t be ‘too’ distracted when you study, make your study time effective Pace yourself. Cramming is counterproductive. Test yourself: avoid the “illusion of competence” Alternate “zooming in and out”: big picture (why are we doing this?) How does it fit with the rest - (details; how do we do this?)Tips for Success in Studying StatisticsHP-340: Fall 201614 Describe and summarize data using tables and graphs Select appropriate statistical procedures to analyze data Perform statistical analysis using statistical software Critique statistical analyses in scientific articles Build strong foundation for learning more advanced statistical methodsLearning ObjectivesHP-340: Fall 201615 Big picture overview and key concepts/terms (Chapter 1) Key concepts: Variables and data Statistic/descriptive statistic Population and sample Parameters Dependent and independent variables ExperimentToday’s LectureHP-340: Fall 201616 Statistics is the science of drawing conclusions from data There is both consistency and variability in the events that surround our lives Examples: Amount of sleep: ~8 hrs., but varies across people Eye color: varies across people, and over time (for some people), but proportions of each color show regularity A person’s commuting time is similar each day (regularity),