That article has all the feeling of being written by a high school sophomore 1 hour before it was due. I especially enjoyed the “In conclusion” to kick off the final paragraph.
And to save you a click:
The average US president has been charged with 2 felonies. However, this statistic is heavily influenced by former President Donald Trump, who became a statistical outlier due to the multiple legal issues he faced during his tenure.
Definitely reads lile OpenAI shit it out.
we’re gonna make 'em eat our shit, then shit out our shit, then eat their shit which is made up of our shit that we made 'em eat. Then all you motherfuckers are next. Love, Jay and Silent Bob.
The only thing worth learning about this is sometimes the average isn’t really useful.
trump has an absolutely crazy amount of felonies, and we’ve had a relatively small amount of presidents
The problem with averages is more often than not the type of average being used is not specified.
There can be a vast difference between Mean, Median or Mode.
And I regularly catch shit for saying the measure of central tendency could be any of those, and that “average” only usually means “arithmetic mean” but could be any number of measures…
…on the bright side, with that weird article, you now have a very obvious and easy-to-understand example of why it IS effing important to specify what “average” means. ;)
Central Limits Theorem
What are you trying to say?
The Central Limits Theorem is what establishes the requirements on a dataset to give a statistical analysis efficacy.
In general, it is a true blind sampling paired against a control sampling, both of which contain a population of at least 30. In extreme cases like this, the “30/30” rule would not be sufficient to give the mean analysis efficacy.
If you were me in 2007 learning about statics, you would have been answering test questions like “Cite a condition of the central limits theorem that would invalidate a mean analysis of US Presidents to Felony indictments.”
That was a long ass time ago, so if I am messing up fine details, feel free to counter. I’m not digging out all my old text books to re-teach myself. I didn’t grow up to be a statistician after all.
I have a masters in math, I know what the theorem is, I just don’t see how the phrase “Central Limit Theorem” forms a coherent point in this context. What about the theorem?
It is where you would look to understand why “the average president had 2 felonies” is not a statement that holds efficacy. Maybe.
Congrats on the tuition paid. Maybe should have taken a few more english/lit/humanities courses. Buffed up that critical thinking.
That’s not the context. The context is someone pointing out that there are different measures of central tendency that can be referred to as “average.” The response was “Central Limit Theorem”. Not particularly coherent… especially since the central limit theorem has nothing to do with it.
I didn’t pay tuition. I earned a stipend and had my tuition waived like most math grad students. But pop off, dipshit.
Spiders Donald is a statistical outlier and should not have been counted
Gotta exclude outliers
I am too lazy to find the mean. But yes distribution is an important thing to thing.
If you live in America today, the one historical fact you are most likely to have heard is that former President Donald Trump is the first president to be impeached twice.
What is this writing? The one historical fact haha
This website is god awful on mobile without an ad blocker wtf. The ads covered like 80% of the screen. I blame you for linking me that
Use Firefox + uBlock Origin. Most of the ads will be gone after that.
The average number of legs per person is less than two…
average president charged with 2 felonies statistic actually incorrect. average president does not get charged with many felonies. felonies donald, who has been charged with a shitload of felonies, is an outlier and should not have been counted
