Chapter 1. Objectives By the end of this lesson, you will be able to... describe what "statistics" means in the context of this course. explain the process of statistics distinguish between qualitative and quantitative variables distinguish between discrete and continuous variables determine the level of measurement of a variable For a quick overview of this section, feel free to watch this short video summary: The first thing we want to look at is exactly what "statistics" is.

It should come as no surprise that your textbook has a definition for statistics. Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions. So what does that mean? See, the reason we use data is that often the anecdotal information we have which might appear to be true actually is not. Case in point: Recently the math department at ECC decided to do some investigation into the success of students in the College Algebra course. Immersive Linear Algebra. Immersivemath immersive linear algebra by J.

Exercises. Calculators. Dataset Challenge. The Yelp dataset challenge - Multilabel Classification of Yelp reviews into relevant categories. In this section, we will describe the various approaches we took to build a classifier.

We will reason about our choices based on the advantage and disadvantage of each approach. You can also have a look at the video presentation, to get a quick overall idea The problem of classifying a review into multiple categories is a not a simple binary classification problem. Since a reviewer can talk about various things in his or her review, each review can be classified into multiple categories. One of the most popular and perhaps the simplest way to deal with multiple categories is to create a binary classifier for each category.

W.statistic. 119387 A First Course in Probability 8th Edition. JaynesProbabilityTheory. What is the best book to learn probability? Statistical Software Tutorials - The Center for Applied Statistics and Evaluation. Open Logic Project. We regularly compile the files in the repository into PDFs.

If you’d just like to see what is there, you can find them at our builds site. There are PDFs of every section, chapter, and part, but the most interesting files are: Sample Logic Text, a textbook selected and remixed from the mature material in the Open Logic repository.Open Logic Text, Complete Clean Version, one big PDF of all the material is available, including experimental parts.Open Logic Text, Debug Version, with additional markup to identify source files and OLT-specific commands. The complete source code of the Open Logic Text is hosted on GitHub. GitHub is a collaboration portal and Git server. To download the source code, you should go to the GitHub repository page. To compile the source code into a PDF yourself, you need LaTeX. Internet Laboratory for Empirical Network Science (iLENS) Project Summary Effective Internet measurement raises daunting issues for the research community and funding agencies.

Improved understanding of the structure and dynamics of Internet topology, routing, workload, performance, and vulnerabilities remain a disturbingly elusive priority, in part for lack of largescale distributed network measurement infrastructure available to scientific researchers. The dearth is understandable; measurement of operational Internet infrastructure involves navigating more complex and interconnected dimensions than measurement in most scientific disciplines: logistical, financial, methodological, technical, legal, and ethical. CAIDA has been navigating these challenges with modest success for fifteen years, collecting, coordinating, curating, and sharing data sets for the Internet research and operational community in support of Internet science. Management Plan CAIDA personnel will be responsible for accomplishing all proposed tasks.

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. Human Body Statistics. Statistics Lectures - Statistics Tutoring Experts. Minitab. Variable_types.fm - variable_types.pdf. WorkshopModule2Griffin.pdf. Degrees of Freedom Tutorial. A lot of researchers seem to be struggling with their understanding of the statistical concept of degrees of freedom.

Most do not really care about why degrees of freedom are important to statistical tests, but just want to know how to calculate and report them. This page will help. For those interested in learning more about degrees of freedom, take a look at the following resources: I couldn’t find any resource on the web that explains calculating degrees of freedom in a simple and clear manner and believe this page will fill that void. BerkeleyX: Intro Statistics: Descriptive Statistics (Spring 2013) Stat2.1x: Practice Exams, Lecture Notes, Textbooks, Study Guides and Study Materials.

BerkeleyX: Intro Statistics: Probability Stat2.2x:

Statistics Permutation and Combination Set Calculator, Math.