Business Analytics: Multiple Comparisons in R and Excel
With Conrad Carlberg
Liked by 754 users
Duration: 59m
Skill level: Advanced
Released: 5/29/2019
Course details
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.
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Meet the instructor
Learner reviews
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Steve F.
Steve F.
Consultant | Data Scientist | Forecast Statistician | Predictive Analytics Modeler | Trainer
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Huberto Madalena
Huberto Madalena
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units