Franklin

Business Analytics: Multiple Comparisons in R and Excel/ with Conrad Carlberg.

Author/Creator:
Carlberg, Conrad speaker.
Publication:
Carpenteria, CA:: linkedin.com, 2019.
Format/Description:
Video
1 online resource
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Form/Genre:
Instructional films.
Educational films.
System Details:
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Summary:
Learn how to run multiple comparison tests in Excel and R to pinpoint mean differences in multiple groups of data.
Statistical analysis often goes beyond simple analysis of variance (ANOVA), which tells you only if a reliable difference exists somewhere?but not specifically where. Sometimes, you may have to determine whether group A?s mean value differs reliably from the mean value of group B, or from that of group C. Multiple comparison tests are the standard for pinpointing these mean differences. In this course, Conrad Carlberg shows how to use Excel and the open-source platform R to run Tukey?s HSD test and the Scheffe ? multiple comparison test following an ANOVA. Along the way, he discusses related concepts, such as critical values, group size, data snooping, and statistical power, and explains how they influence your choice of tests.
Participant:
Presenter: Conrad Carlberg
Notes:
5/29/20191
Contributor:
linkedin.com (Firm)
Access Restriction:
Restricted for use by site license.