SOCR: Statistics Online Computational Resource HyperStat Online: An Introductory Statistics Textbook and Discussion of whether most published research is false Recommend HyperStat to your friends on Facebook Click here for more cartoons by Ben Shabad. Other Sources Stat Primer by Bud Gerstman of San Jose State University Statistical forecasting notes by Robert Nau of Duke University related: RegressIt Excel add-in by Robert Nau CADDIS Volume 4: Data Analysis (EPA) The little handbook of statistical practice by Gerard E. Stat Trek Tutorial Statistics at square 1 by T. Concepts and applications of inferential statistics by Richard Lowry of Vassar College CAST by W. SticiGui by P. SurfStat by Keith Dear of the University of Newcastle. Introductory statistics: Concepts, models, and applications by David W. Multivariate statistics: Concepts, models, and applications by David W. Electronic textbook by StatSoft A new view of statistics by Will Hopkins of the University of Otago The knowledge base: An online research methods textbook by William M.

Online Statistics Education: A Free Resource for Introductory Statistics Developed by Rice University (Lead Developer), University of Houston Clear Lake, and Tufts University OnlineStatBook Project Home This work is in the public domain. If you are an instructor using these materials, I can send you an instructor's manual, PowerPoint Slides, and additional questions that may be helpful to you. Table of Contents Mobile This version uses formatting that works better for mobile devices. Rice Virtual Lab in Statistics This is the original classic with all the simulations and case studies. Version in PDF e-Pub (e-book) Partial support for this work was provided by the National Science Foundation's Division of Undergraduate Education through grants DUE-9751307, DUE-0089435, and DUE-0919818.

Chapter 9 Chapter 9 Experimental Research (Reminder: Don’t forget to utilize the concept maps and study questions as you study this and the other chapters.) In this chapter we talk about what experiments are, we talk about how to control for extraneous variables, and we talk about two sets of experimental designs (weak designs and strong designs). (Note: In the next chapter we will talk about middle of the road experimental designs; they are better than the weak designs discussed in this chapter, and they are not as good as the strong designs discussed in this chapter. The middle of the road, or medium quality designs are called quasi-experimental designs.) It is important for you to remember that whenever an experimental research study is conducted the researcher's interest is always in determining cause and effect. The causal variable is the independent variable (IV) and the effect or outcome variable is the dependent variable (DV). The Experiment Independent Variable Manipulation Counterbalancing

Teacher Resources - World of Statistics Demand for statisticians and data analysts is expected to increase by 4.4 million jobs worldwide in the years ahead. To teach students basic statistics literacy and introduce them to careers in the profession, many organizations have developed primary and secondary school statistics education programs and resources, most of which are free. Click the links below to view the resources available around the world. Census at School Program Census at School is a free, web-based classroom project that engages primary and secondary school students in statistical problem solving using their own data. Under the direction of their teacher, students anonymously complete an online survey consisting of 13 questions common to all children and several questions specific to their country. New Zealand launched the 2013 renewal of its Census at School program May 6. Click on the Census at School links below to view the program in your country or others around the world. Teacher Resources

Free Statistics Book Random: Probability, Mathematical Statistics, Stochastic Processes Welcome! Random (formerly Virtual Laboratories in Probability and Statistics) is a website devoted to probability, mathematical statistics, and stochastic processes, and is intended for teachers and students of these subjects. The site consists of an integrated set of components that includes expository text, interactive web apps, data sets, biographical sketches, and an object library. Please read the Introduction for more information about the content, structure, mathematical prerequisites, technologies, and organization of the project. Random is hosted at two sites: www.math.uah.edu/stat/ and www.randomservices.org/stat/. Technologies and Browser Requirements This site uses a number of advanced (but open and standard) technologies, including HTML5, CSS, and JavaScript. Display of mathematical notation is handled by the open source MathJax project. Support and Partnerships Rights and Permissions This work is licensed under a Creative Commons License. Quote

Social Reserch Methods Home Useful Web Sites for Teachers With so many web sites available, it is hard for teachers of statistics to select those that are most useful. The following is a compilation of information by members of the ASA/NCTM Joint Committee on the Curriculum in Statistics and Probability. You may wish to visit these sites and see which are appropriate for your teaching level. General Sites Statistics Education Web (STEW) is a free, online bank of peer-reviewed lesson plans for K-12 teachers of mathematics and science. Census at School - U.S. is a free international classroom project that engages students in grades 4 to 12 in statistical problemsolving using their own real data. K-12 Statistics Education Webinars The American Statistical Association offers free webinars on K-12 statistics education topics. The Chance Project has resources that emphasize using current news media as motivation for studying issues in probability and statistics. Chance Project Data Sets U.S. UCLA Statistics Case Studies Gapminder Census at School - U.S.

ModernDive Getting Started - For Students This book was written using the bookdown R package from Yihui Xie (Xie 2016). In order to follow along and run the code in this book on your own, you’ll need to have access to R and RStudio. You can find more information on both of these with a simple Google search for “R” and for “RStudio.” An introduction to using R, RStudio, and R Markdown is also available in a free book here (Ismay 2016). It is recommended that you refer back to this book frequently as it has GIF screen recordings that you can follow along with as you learn. We will keep a running list of R packages you will need to have installed to complete the analysis as well here in the needed_pkgs character vector. You can run the library function on them to load them into your current analysis. Colophon The source of the book is available here and was built with versions of R packages (and their dependent packages) given below.

MA121: Introduction to Statistics Probabilities affect our everyday lives. In this unit, you will learn about probability and its properties, how probability behaves, and how to calculate and use it. You will study the fundamentals of probability and will work through examples that cover different types of probability questions. These basic probability concepts will provide a foundation for understanding more statistical concepts, for example, interpreting polling results. Though you may have already encountered concepts of probability, after this unit, you will be able to formally and precisely predict the likelihood of an event occurring given certain constraints. Probability theory is a discipline that was created to deal with chance phenomena. The skill of calculating probability allows us to make better decisions. We will also talk about random variables.

Research Methods | AllPsych AllPsych > Research Methods Research Methods By AllPsych Editor AllPsych Editor August 15, 2014Research Methods2014-11-22T01:49:00+00:00 This ten chapter research methods text is written for both undergraduate and graduate students in education, psychology, and the social sciences. It focuses on the basics of research design and the critical analysis of professional research in the social sciences from developing a theory, selecting subjects, and testing subjects to performing statistical analysis and writing the research report. advertisement AddThis Sharing Hide Show AddThis Recommended for you Chapter 3.3 Software Tools Of Research | A... allpsych.com Homosexuality: Nature Or Nurture | AllPsych How To Learn Psychology In Psychol... Sensation And Perception In Psychol... AddThis

Statistics Instructors By Cynthia Brame, CFT Assistant Director Teaching Statistics Statistical analysis is a critical tool in many fields, and as such, it is taught in courses across many disciplines. Svetlana Tishkovskaya and Gillian Lancaster recently reviewed research on statistics education as well as web-based resources in the field (Tishkovskaya and Lancaster, 2012). Students learn best what they practice and perform on their own.Knowledge tends to be specific to the context in which it is learned.Learning is more efficient when students receive real-time feedback on errors.Learning involves integrating new knowledge with existing knowledge.Learning becomes less efficient as the mental load students must carry increases. The authors note that developing an active learning environment is essential to integrating these principles into a course. General resources offering a variety of tools Dataset repositories Other Resources References Boyer, E.L. (1998). Bruff, D. (2009). Froyd, J. (2008).

Probability & Statistics Probability & Statistics [Enter Course] Overview: This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. We offer two versions of statistics, each with a different emphasis: Probability and Statistics and Statistical Reasoning. One of the main differences between the courses is the path through probability. In-Depth Description There are two versions of the OLI Statistics course: Probability and Statistics and Statistical Reasoning. Unit 1 Exploratory Data Analysis. Unit 2 Producing Data. Unit 3 Probability. Unit 4 Inference. The course is built around a series of carefully devised learning objectives that are independently assessed. This course contains only the StatTutor lab exercises.