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statsandr.com | ||
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debrouwere.org
[AI summary] A data scientist argues that traditional descriptive statistics like the mean and standard deviation are often poor choices for communicating data and recommends more interpretable alternatives like medians, percentiles, and visualizations. |
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rgoswami.me
Chapter II - Statistical Learning All the questions are as per the ISL seventh printing of the First edition1. Question 2.8 - Pages 54-55 This exercise relates to the College data set, which can be found in the file College.csv. It contains a number of variables for \(777\) different universities and colleges in the US. The variables are Private : Public/private indicator Apps : Number of applications received Accept : Number of applicants accepted Enroll : Number of new students enrolled Top10perc : New students from top 10 % of high school class Top25perc : New students from top 25 % of high school class F. |
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blog.ephorie.de
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www.rdatagen.net
In my previous post, I described a continuous data generating process that can be used to generate discrete, categorical outcomes. In that post, I focused largely on binary outcomes and simple logistic regression just because things are always easier to follow when there are fewer moving parts. Here, I am going to focus on a situation where we have multiple outcomes, but with a slight twist - these groups of interest can be interpreted in an ordered way. |
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