Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options answers only not deleted user 1352

Guidelines for presenting results of a statistical analysis in a research manuscript, presentation, or for general public.

3 votes

Should I report z-score, p-value or both for Mann-Whitney U test under APA guidelines?

I would suggest you report the statistic ($U$) and the $p$ value. That is usually sufficient. If the reviewers want $z$ scores or anything else as well, they will tell you. But that should be enough i …
Stephan Kolassa's user avatar
11 votes
Accepted

Is it appropriate to report the mean, standard deviation and coefficient of variation for bi...

It's overkill, but may be justified for presentation reasons. Usually, the total number $N$ of measurements is known. If we then know the number $N_1$ of "1" entries, we can calculate all the other su …
Stephan Kolassa's user avatar
55 votes

The more important statistic: '90 percent of all women survived' or '90 percent of all those...

As they stand, neither one of Statement 1 or 2 is very useful. If 90% of passengers were women and 90% of people survived at random, then both statements would be true. The statements need to be consi …
Stephan Kolassa's user avatar
5 votes

Reporting F1 Scores

I would certainly not write about "11 points higher". The F1 score is a number between 0 and 1 and can be interpreted as a percentage, so "11 percentage points" is defensible, but it's certainly not s …
Stephan Kolassa's user avatar
4 votes
Accepted

What key information should be included in an academic paper that uses machine learning?

I'll start off your list and both comment on it and add something. Information about the data (n, sample, source, rates of each event class, # of predictors) Possible biases in sampling the data, e. …
Stephan Kolassa's user avatar