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| | errorstatistics.com
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| | Georgi Georgiev Author of Statistical methods in online A/B testing Founder of Analytics-Toolkit.com Statistics instructor at CXL Institute In online experimentation, a.k.a. online A/B testing, one is primarily interested in estimating if and how different user experiences affect key business metrics such as average revenue per user. A trivial example would be to determine if...
| | www.analytics-toolkit.com
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| | Adjust p-values from multiple significance tests to control the Family-Wise Error Rate (FWER) or False Discovery Rate (FDR) in cases when multiple test metrics can lead to action. Suitable for A/B testing practitioners.
| | ddarmon.github.io
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| | zevross.com
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| When you're plotting a lot of data overplotting can sometimes obscure important patterns. In situations like this it can be useful at the exploratory data analysis phase to 'jitter?...