What is statistics for behavioral sciences

Students will gain familiarity with data description, variance and variability, significance tests, confident intervals, correlation and linear regression, analysis of variance, and other related topics.

The goal is to learn the application of statistical reasoning to decision making. Current events are often used to illustrate these issues.

JavaScript is not enabled in your browser! We strongly suggest you turn on JavaScript in your browser in order to view this page properly and take full advantage of its features. Instructor Name Elizabeth Bauer. More Mathematics Courses. Introduction to Finite Element Methods lectures , views. Analysis of a Complex Kind 36 lectures 42, views. Number Theory I: Lecture Notes 0 lectures 2, views.

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Available Formats: eBook Hardcover Softcover. Collins, L. Ed , Kugler, K. Valliant, R. You are currently using the site but have requested a page in the site. Would you like to change to the site? Brian S. Everitt Editor , David Howell Editor. His primary interests are in the field of statistics and experimental methods. Although retired since he continues to publish in the area of statistical methods. Goodreads helps you keep track of books you want to read. Want to Read saving…. Want to Read Currently Reading Read.

Other editions. Enlarge cover. Lab work. The lab sections will focus primarily on providing instruction in the use of the SPSS computer package. You will learn to perform basic data analyses based on the procedures learned in class.

In sections, you also will have the opportunity to review and ask questions about material from the lectures or homework. Attendance and participation in lab is strongly encouraged, and your performance on the lab final exam will count for a significant portion of your final grade.

Further details about the scheduling and curriculum of lab sections will be provided by your lab instructor TF , to whom you will be assigned during the first week of the course. Final project. There will be a page longer for students enrolled for graduate credit final project due at the end of the semester. This assignment will provide an opportunity for you to put into practice the statistical skills you learned over the course of the semester.

You will analyze data collected in the class and write up the results. More details to come. Final projects are due before pm May 5 th , and are to be submitted via upload to the course website. Papers turned in the minute after the due date count as one day late. It is expected that all work submitted by you for this course is your own. You are free to work with other students on weekly homework, when reviewing course material, and when preparing for quizzes, exams, and your final paper.

However, each student should submit only their own work on quizzes and exams, and final papers should be completed entirely independently i. Further all work submitted should be original for this course, and not a resubmission of past work. You are responsible for understanding Harvard Extension School policies on academic integrity www. Not knowing the rules, misunderstanding the rules, running out of time, submitting the wrong draft, or being overwhelmed with multiple demands are not acceptable excuses.

There are no excuses for failure to uphold academic integrity. To support your learning about academic citation rules, please visit the Harvard Extension School Tips to Avoid Plagiarism www. The tutorials are anonymous open-learning tools. The Extension School is committed to providing an accessible academic community.