Statistics. Statistical Topics. This topics list provides access to definitions, explanations, and examples for each of the major concepts covered in Statistics 101-103.

Describing and displaying data Graphical displays: stemplots, histograms, boxplots,scatterplots.Numerical Summaries: mean, median, quantiles, variance, standard deviation.Normal Distributions: assessing normality, normal probability plots.Categorical Data: two-way tables, bar graphs, segmented bar graphs. Linear regression and correlation Linear regression: least-squares, residuals, outliers and influential observations, extrapolation.Correlation: correlation coefficient, r².Inference in Linear Regression: confidence intervals for intercept and slope, significance tests, mean response and prediction intervals. Probability and Statistics 78918-S03. - Statistics_CareySmith_2020_3Fall. - Math 110 - Elementary Statistics (University of Saint Joseph) Free and Open Students Are you a student looking to study mathematics on your own, and want to do exercises with immediate feedback as you work through a free and open textbook?

Then read more about our self study courses. - 146 OpenIntro AP Statistics: Dorazio/Diez/Barr/Cetinkaya-Rundel. Free and Open Students Are you a student looking to study mathematics on your own, and want to do exercises with immediate feedback as you work through a free and open textbook?

Then read more about our self study courses. Instructors. - Introduction to Statistika. Free and Open Students Are you a student looking to study mathematics on your own, and want to do exercises with immediate feedback as you work through a free and open textbook?

Then read more about our self study courses. Instructors. - Psych RMS: Psych Research Methods and Statistics. Free and Open Students Are you a student looking to study mathematics on your own, and want to do exercises with immediate feedback as you work through a free and open textbook?

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Re: Behavioral statistics OER now available! PSYC 2200 Worksheets. StatPrimer (c) B. Gerstman 2003, 2006, 2016. StatPrimer (Version 7.0) (c) B.

Burt Gerstman 2003, 2006, 2016 (email) Part A (Introductory) (1) Measurement and sampling [Exercises] (2) Frequency distributions [Exercises] Department of Statistics. Data Science in Education Using R. 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.

Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible. Please cite as: Online Statistics Education: A Multimedia Course of Study ( Project Leader: David M. 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.

Error 400 (Bad Request)!!1. StatPrimer (c) B. Gerstman 2003, 2006, 2016.

Statbook. John H. McDonald's home page. Research Interests The overall theme of the research in my lab is detecting the effects of natural selection on nuclear genes.

This includes detecting the effects of balancing selection and directional selection on variation within populations, variation among populations, and variation among species, and it includes a mix of empirical and theoretical work. Prospective Students I am not seeking a graduate student or post doc for my lab at this time. I may have opportunities for undergraduates with a strong interest in evolutionary biology and a willingness to work independently.

I will be glad to advise UD undergrads and others with an interest in evolutionary biology who are planning to apply to graduate schools. Current Projects Adaptation to global warming in enzyme allele frequencies: In the 1970s and 1980s, the technique of allozyme electrophoresis revealed patterns of allele frequency in several species that were associated with latitude. Courses BISC 413: Advanced Genetics Laboratory. Concepts, Techniques, and Applications. Free Statistics Book. OpenIntro. 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. Probability and statistics EBook - Socr. From Socr SOCR Books: This is a General Statistics Curriculum E-Book, which includes Advanced-Placement (AP) materials.

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. Free Statistics Book. 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.

In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.

Probability & Statistics. Principles of Data Analysis. Stat Text Calculus-Based. Essentials of Statistics: Exercises. Introductory Statistics: Concepts, Models, and Applications - Read Online. Online Statistics: An Interactive Multimedia Course of Study. Mathematical Statistics.