{"id":73,"date":"2017-08-25T15:06:19","date_gmt":"2017-08-25T15:06:19","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/suny-coursesupport\/?post_type=chapter&p=73"},"modified":"2017-11-06T15:30:28","modified_gmt":"2017-11-06T15:30:28","slug":"statistics","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/suny-coursesupport\/chapter\/statistics\/","title":{"raw":"Statistics","rendered":"Statistics"},"content":{"raw":"

Introduction<\/h2>\r\nWe're so glad that you're working to expand the wide world of OER statistics\u00a0materials. As you know, statistics is a very rewarding subject to teach, as it can be approached so many ways. This variety means that though many OER materials already exist for statistics, there's no one-size-fits-all solution in place. Even if you find a template course you admire, you're likely to need to do at least some<\/em> customization to fit your school, your program, and your students.\r\n

SUNY OER Services Courses<\/h2>\r\nSUNY OER Services offers several template courses, supported by Lumen Learning, that can serve as starting points for your own development. You can mix, match, and adapt anything from the courses below quite easily.\r\n\r\nThese math courses are supported by Lumen Learning\u2019s\u00a0Online Homework Manager (OHM)<\/a>, an online OER homework system that provides algorithmically-generated problems and immediate feedback to help students practice and master math concepts.\r\n\r\nWhen you click the link for full OHM courses or online homework sets, please use guest <\/span>as the username, no password is required.\r\n\r\n\r\n\r\n\r\n\r\n\r\n
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Description<\/h3>\r\n<\/td>\r\n<\/tr>\r\n

Lumen Learning - OpenStax<\/a>, easily editable<\/td>\r\nOnline homework sets.<\/span><\/a><\/td>\r\nTopics covered include, classification of data, graphing data, common distributions used in statistical analysis, independence testing and ANOVA.<\/td>\r\n<\/tr>\r\n
OpenStax<\/a>, not easily editable<\/td>\r\nFull OHM course<\/a>, simulations, video support, online homework, discussion boards<\/td>\r\nThis course presents elementary statistical methods and concepts including descriptive statistics, estimation, hypothesis testing, linear regression and categorical data analysis.<\/td>\r\n<\/tr>\r\n
Concepts in Statistics<\/a>\u00a0- easily editable text<\/td>\r\nFull OHM course, Full Waymaker course, online homework, simulations, videos, discussions<\/td>\r\nThis course is based on early versions of Statway\u2122<\/a>, which was originally published by the Carnegie Foundation with a CC BY NC SA license. (More recent versions of Statway\u2122 materials are published with an all rights reserved copyright.)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

Additional Offerings<\/h2>\r\nBeyond what\u2019s already hosted inside the SUNY OER Services platform, many OER collections contain useful material for Statistics courses. If you have suggestions of public domain or Creative Commons content to add here, please\u00a0let us know<\/a>.\r\n\r\n\r\n\r\n\r\n\r\n
Name<\/th>\r\nSource<\/th>\r\nNotes<\/th>\r\nLicense<\/th>\r\n<\/tr>\r\n
The Statistics Spreadsheet<\/a><\/td>\r\nLake Tahoe Community College<\/td>\r\nA full statistics spreadsheet program using Google Sheets as the base.<\/td>\r\nCC BY<\/td>\r\n<\/tr>\r\n
Statistics Using Technology<\/a><\/td>\r\nCoconino Community College<\/td>\r\nTextbook available in PDF and Word files.<\/td>\r\nCC BY SA<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n
\r\n\r\nIf you\u2019d like to utilize any of the above resources in your own classroom, you\u2019re welcome to\r\n