So, *normality* is kind of a misunderstood / overrated problem here. We should be mindful of super-funny distributions, of course, but I'm not horrendously troubled by the data not being normally distributed.
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So, in your Outhousery opinion, (a) do we need to transform it if it's savagely right tailed ? I have no idea what... can't believe I'm typing this, 'distribution of sperm motility' looks like (b) can we bang it with a regular BW ANOVA either way?
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Replying to @canuckinarabia @jamesheathers and
a) I've been called Outhouse by people since I was, like, 5. Not really my favorite nickname - I take much more kindly to Old House. b) James is WELL KNOWN to be a "vindictive little bastard" as he's been called such names and worse, and therefore I take no offense.
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Replying to @ADAlthousePhD @canuckinarabia and
James Heathers Retweeted Jeremy Sussman
Ahh, actually you started it, you big meanie man.https://twitter.com/JeremySussman/status/1118279204573868032 …
James Heathers added,
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Replying to @jamesheathers @ADAlthousePhD and
I was complimenting the idea! It's the authors of the mice articles who should be offended.pic.twitter.com/1iCHPJOpn9
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Replying to @JeremySussman @jamesheathers and
Not sure that movie has a place any more. I used to love it, kinda feel bad thinking about it now.
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Replying to @JeremySussman @ADAlthousePhD and
I know you were. Scroll down for
@ADAlthousePhD making a SHAMELESS JOKE about my noble name. How ruddé.1 reply 0 retweets 1 like -
Replying to @jamesheathers @JeremySussman and
How in the world do you remember these things?
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Replying to @ADAlthousePhD @JeremySussman and
I am legion and contain multitudes.
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And somehow none of them shower
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