This volume aims to give zoo researchers, particularly students, clear guidelines to enable them to choose the most appropriate statistical tests for the types of datasets typically collected in zoo settings. If the guidelines in this volume are followed then researchers should be confident that they...
Help your undergraduate students transform classroom theory into publishable research through mentorship, critical thinking, and applied research that uses real datasets. Recorded:Thursday, April 3, 2025Read More Duration: 30 minutes Data Science for All - Effective Resources and Support for the Undergra...
Math & Statistics educator resources—insights, tools, trainings, news, events and more, curated for the discipline you teach.
Here to help you and thanks for your patience -Deborah Go to the companion site for the book mentioned below, the companion book. The book may cost money, but the site is free. Here is thelink. Now, click on “Datasets.” You will be presented with different types of datasets that ar...
It is one of the most widely used software tools for statistical data analysis, particularly in the social sciences, education, healthcare, psychology, and business research. Secondly, SPSS allows users to perform a variety of statistical tests, manage large datasets, visualize patterns, and ...
Put together to mirror the typical flow of a project, Q1Q2Q3 becomes a straightforward workflow or lifecycle for statistics and data science practice, a framework for students and practitioners that is understandable, memorable, and easy to implement. Put simply, this workflow is: What is the ...
But those who work with datasets, analysis, Excel, and other statistical analysis software know it's so much more than that and very important. Statistics is a branch of mathematics that comprises the collection, classification, analysis, interpretation, and presentation of numbers – specifically,...
It utilizes datasets on various economic and business indicators to demonstrate how the statistical tools and methods are applied in practice. The course relies on a combination of lectures, class discussions, lab work, assignments, and exams to deliver the material to students. At the end of ...
The kNN algorithm tries to classify an unlabeled observation based on its k (can be any number ) surrounding neighbors. It is also known as a lazy learner because it involves minimal training of the model. Hence, it doesn’t use training data to generalize to unseen datasets ...
. Contrary to popular opinion, statistics allows you to express your creative side, as choosing your method of analysis and interpretation is largely subjective. I enjoy incorporating current events in class discussions, as well as observing and debating the different ways people approach datasets."...