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Title | Kent MacDonald Data |
Description | Search This Blog Kent MacDonald Data Science Home Portfolio More… Posts Cluster-Robust Regression in Python Get link Facebook Twitter Pinterest Email Othe |
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WebSite | kmdatascience.com |
Host IP | 216.239.38.21 |
Location | United States |
Site | Rank |
US$491,894
Last updated: 2023-05-14 16:27:42
kmdatascience.com has Semrush global rank of 21,517,449. kmdatascience.com has an estimated worth of US$ 491,894, based on its estimated Ads revenue. kmdatascience.com receives approximately 56,757 unique visitors each day. Its web server is located in United States, with IP address 216.239.38.21. According to SiteAdvisor, kmdatascience.com is safe to visit. |
Purchase/Sale Value | US$491,894 |
Daily Ads Revenue | US$455 |
Monthly Ads Revenue | US$13,622 |
Yearly Ads Revenue | US$163,461 |
Daily Unique Visitors | 3,784 |
Note: All traffic and earnings values are estimates. |
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Search This Blog Kent MacDonald Data Science Home Portfolio More… Posts Cluster-Robust Regression in Python Get link Facebook Twitter Pinterest Email Other Apps August 30, 2017 This is a short blog post about handling scenarios where one is investigating a correlation across some domain while controlling for an expected correlation across some other domain. If that sentence made no sense to you don’t worry, here is a simple example: Research Question: To determine if Instagram users are more likely to also post on Facebook or to Twitter. Analysis Plan: Perform a t-Test to look at the difference in means of how often Instagram users are posting on Facebook vs. Instagram users posting on Twitter. Problem: Some users have Facebook accounts (Group A), some users have Twitter accounts (Group B) and some users have both (Group A/B). So we can’t really use a Related Samples t-Test or an Independent Samples t-Test. Also, some users post many photos on Instagram and others only make the |
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