Statistics: Collecting and Analyzing Data

From the University of Kansas, Chapter 37, section 5 of this comprehensive site focuses on collecting and analyzing data. "Learn how to collect your data and analyze it, figure out what it means, so that you can use it to draw some conclusions about your work."

"Seamlessly analyze open data on the web. Kaggle lets you search to find open datasets on everything from government, health, and science to popular games and dating trends. You can execute, share, and comment on code for any open dataset with their in-browser analytics tool, Kaggle Kernels. You can also download datasets in an easy-to-read format. Contribute to the open data movement and connect with other data enthusiasts by clicking “New Dataset” to publish an open dataset of your own."

David Hartvigsen of the University of Notre Dame has created a downloadable Excel workbook for doing basic statistics calculations and charting at the level of a typical introductory course. It is free to individual users.

Purdue Online Writing Lab has developed a guide for how to include statistics in written text.

Dr. Scott Stevens has developed some useful statistical templates for his Basic Business Statistics classes at James Madison University.