Statistics - Revision history

Eric Rasmusen: /* Instrumental Variables */

2023-08-05T23:42:39Z

‎Instrumental Variables

2021-12-26T22:28:17Z

‎Sample Size

2021-11-18T04:40:34Z

‎Data Visualization

2021-10-14T20:02:49Z

‎Confidence Levels

2021-03-09T00:59:22Z

‎Teaching Statistics

2021-03-07T14:41:01Z

2021-02-15T02:03:15Z

2021-02-13T01:54:01Z

‎Data Visualization

2021-02-02T13:54:16Z

2021-01-28T00:46:55Z

← Older revision		Revision as of 23:42, 5 August 2023
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	See http://rasmusen.org/published/blp-rasmusen.pdf		See http://rasmusen.org/published/blp-rasmusen.pdf

		+	==Normal Distribution==
		+	*[https://www.youtube.com/watch?v=IaSGqQa5O-M You-Tube] on why pi shows up in the equation.

	==Sample Size==		==Sample Size==

@@ Line 50: / Line 50: @@
 ==Sample Size==
-It's curious that with both few observations (n=30) and many (n= 3 million), statistical significance is too lax a standard. Has anyone thought about those problems in conjunction?
+*It's curious that with both few observations (n = 30) and many (n = 3 million), statistical significance is too lax a standard. Has anyone thought about those problems in conjunction?
 ==Teaching Statistics==

@@ Line 10: / Line 10: @@
 *[http://datacolada.org/99 Good blogpost here at Datacolada]
 ==Data Visualization==
-{{Quotation| You only have to have this experience of your plotting requests being ignored a few times to realize that you can’t expect to be able to say once, Hey how about plotting all the data first?, in a normal tone, and expect everyone to put aside the more complicated stuff they want to do and make plots. You have to repeat it, again and again, probably loudly, until you seem like some sort of graphing extremist.
+*{{Quotation| You only have to have this experience of your plotting requests being ignored a few times to realize that you can’t expect to be able to say once, Hey how about plotting all the data first?, in a normal tone, and expect everyone to put aside the more complicated stuff they want to do and make plots. You have to repeat it, again and again, probably loudly, until you seem like some sort of graphing extremist.
 --https://statmodeling.stat.columbia.edu/2021/01/27/tukeyian-uphill-battles/}}
-{{Quotation| Josh Wills
+*{{Quotation| Josh Wills
 @josh_wills
@@ Line 23: / Line 25: @@
 People who know lots of statistics just look at the data.}}
 ==Instrumental Variables==

@@ Line 1: / Line 1: @@
 ==Confidence Levels==
 %  statistical confidence levels make sense for scholarly work. Has any scholar ever argued they make sense for real world decisions? Often, a 10% is fine--really, 1%, with a one-side test. But I bet the FDA uses them for drug approval. Has anyone written on this?
 Another application is to child molesting. 95% is probably OK for criminal juries--"no reasonable doubt". We use 51% for the civil suit. We properly use 5% for whether the guy should help in the church nursery.
 ==Data Visualization==

@@ Line 47: / Line 47: @@
 [https://professoramanda.github.io/econ-sims/ The Amanda Middlebury stats simulations]
+.
 -----

← Older revision		Revision as of 02:03, 15 February 2021
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−		+	==Teaching Statistics==
		+	[https://professoramanda.github.io/econ-sims/ The Amanda Middlebury stats simulations]

	==Sample Size==		==Sample Size==

← Older revision		Revision as of 00:46, 28 January 2021
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		+
		+
		+	==Sample Size==
	It's curious that with both few observations (n=30) and many (n= 3 million), statistical significance is too lax a standard. Has anyone thought about those problems in conjunction?		It's curious that with both few observations (n=30) and many (n= 3 million), statistical significance is too lax a standard. Has anyone thought about those problems in conjunction?
		+
		+	==Data Visualization==
		+	{{Quotation\| You only have to have this experience of your plotting requests being ignored a few times to realize that you can’t expect to be able to say once, Hey how about plotting all the data first?, in a normal tone, and expect everyone to put aside the more complicated stuff they want to do and make plots. You have to repeat it, again and again, probably loudly, until you seem like some sort of graphing extremist.
		+	--https://statmodeling.stat.columbia.edu/2021/01/27/tukeyian-uphill-battles/}}
		+
		+
		+	-----