Random sampling - Revision history

DavidE: internal link to bias

2019-07-23T16:38:45Z

internal link to bias

DavidB4-bot: /* Further reading */HTTP --> HTTPS #3, replaced: http://www.amazon.com → https://www.amazon.com

2019-04-09T20:02:54Z

Further reading: HTTP --> HTTPS #3, replaced: http://www.amazon.com → https://www.amazon.com

DMorris: Reverted edits by Dashen (talk) to last revision by FrederickT3

2012-08-16T16:31:55Z

Reverted edits by Dashen (talk) to last revision by FrederickT3

Dashen at 16:31, August 16, 2012

2012-08-16T16:31:32Z

FrederickT3: /* Further reading */ works better with closing bracket...

2012-03-12T19:45:01Z

Further reading: works better with closing bracket...

Karajou: Reverted edits by Frank123 (Talk) to last version by JY23

2010-01-24T17:24:34Z

Reverted edits by Frank123 (Talk) to last version by JY23

Frank123: Replaced content with 'Page Corrected By Anon'

2010-01-24T13:48:48Z

Replaced content with 'Page Corrected By Anon'

JY23: fix cat

2009-02-28T22:44:21Z

fix cat

RobertWDP at 15:56, February 28, 2009

2009-02-28T15:56:24Z

RJJensen: add

2009-02-28T14:31:11Z

add

← Older revision		Revision as of 16:38, July 23, 2019
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−	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.	+	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove [[bias]] in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.

	The '''reliability''' of a poll is a different dimension and refers to the amount of random error still present. The larger the poll, the smaller the random error. (Increasing the size of a poll by X reduces the error by the square root of x. A poll with 4 times as many people will have half the random error.)		The '''reliability''' of a poll is a different dimension and refers to the amount of random error still present. The larger the poll, the smaller the random error. (Increasing the size of a poll by X reduces the error by the square root of x. A poll with 4 times as many people will have half the random error.)

@@ Line 8: / Line 8: @@
 In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input [[probability distribution]] for ensuing statistical calculations, such that the relative [[probability]] of extraction is that indicated by the input [[probability density function]] in the case of a continuous distribution or the [[probability mass function]] in the case of a discrete distribution.
 ==Further reading==
-* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search]
+* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [https://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search]
 [[Category:Statistics]]

← Older revision		Revision as of 16:31, August 16, 2012
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−	<span style="color:red;font-size:100pt">I hat Conservipedia. They are recist, hat librals, and treet gayys as secondd-clas citizens. Fick Conservipedia! They are allso verry mucch ''not'' trrustwortthy!</span>
	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.		'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.

← Older revision		Revision as of 16:31, August 16, 2012
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		+	<span style="color:red;font-size:100pt">I hat Conservipedia. They are recist, hat librals, and treet gayys as secondd-clas citizens. Fick Conservipedia! They are allso verry mucch ''not'' trrustwortthy!</span>
	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.		'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.

@@ Line 8: / Line 8: @@
 In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input [[probability distribution]] for ensuing statistical calculations, such that the relative [[probability]] of extraction is that indicated by the input [[probability density function]] in the case of a continuous distribution or the [[probability mass function]] in the case of a discrete distribution.
 ==Further reading==
-* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search[
+* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search]
 [[Category:Statistics]]

← Older revision		Revision as of 17:24, January 24, 2010
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−	~~Page Corrected By Anon~~	+	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.
		+
		+	The '''reliability''' of a poll is a different dimension and refers to the amount of random error still present. The larger the poll, the smaller the random error. (Increasing the size of a poll by X reduces the error by the square root of x. A poll with 4 times as many people will have half the random error.)
		+
		+	An example is all eligible voters being equally likely to be included in a poll. This method does not ensure accuracy, but increases its likelihood.
		+
		+	==Theory==
		+	In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input [[probability distribution]] for ensuing statistical calculations, such that the relative [[probability]] of extraction is that indicated by the input [[probability density function]] in the case of a continuous distribution or the [[probability mass function]] in the case of a discrete distribution.
		+	==Further reading==
		+	* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search[
		+
		+	[[Category:Statistics]]

← Older revision		Revision as of 13:48, January 24, 2010
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−	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.	+	Page Corrected By Anon
−
−	The '''reliability''' of a poll is a different dimension and refers to the amount of random error still present. The larger the poll, the smaller the random error. (Increasing the size of a poll by X reduces the error by the square root of x. A poll with 4 times as many people will have half the random error.)
−
−	~~An example is all eligible voters being equally likely to be included in a poll. This method does not ensure accuracy, but increases its likelihood.~~
−
−	~~==Theory==~~
−	In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input [[probability distribution]] for ensuing statistical calculations, such that the relative [[probability]] of extraction is that indicated by the input [[probability density function]] in the case of a continuous distribution or the [[probability mass function]] in the case of a discrete distribution.
−	~~==Further reading==~~
−	* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search[
−
−	~~[[Category:Statistics]]~~

← Older revision		Revision as of 22:44, February 28, 2009
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	* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search[		* Graham Kalton. ''Introduction to Survey Sampling'' (Quantitative Applications in the Social Sciences) (1983) [http://www.amazon.com/Introduction-Sampling-Quantitative-Applications-Sciences/dp/0803921268/ref=sr_1_2?ie=UTF8&s=books&qid=1235831356&sr=1-2 excerpt and text search[

−		+	[[Category:Statistics]]
−
−	[Category:Statistics]]

← Older revision		Revision as of 15:56, February 28, 2009
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−	'''Random sampling''' is a [[statistical]] technique which ~~gives everyone in~~ the target group the ~~same opportunity to participate in a [[poll]]~~. ~~Moree exactly~~, everyone has a known probability of ~~selectionb~~. ~~This ensures~~ the ~~'''validity'''~~ of ~~the poll~~, ~~meaning that the results reflect~~ the ~~target population~~.	+	'''Random sampling''' is a [[statistical]] technique in which individuals are randomly selected from the target group (usually a sub-set of the population). More precisely, everyone has a known probability of selection. Generally the aim of this method is to remove bias in selection of samples, though it may not be suitable for all cases of statistical analysis, depending upon the circumstances.

	The '''reliability''' of a poll is a different dimension and refers to the amount of random error still present. The larger the poll, the smaller the random error. (Increasing the size of a poll by X reduces the error by the square root of x. A poll with 4 times as many people will have half the random error.)		The '''reliability''' of a poll is a different dimension and refers to the amount of random error still present. The larger the poll, the smaller the random error. (Increasing the size of a poll by X reduces the error by the square root of x. A poll with 4 times as many people will have half the random error.)

@@ Line 5: / Line 5: @@
 An example is all eligible voters being equally likely to be included in a poll. This method does not ensure accuracy, but increases its likelihood.
 In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input [[probability distribution]] for ensuing statistical calculations, such that the relative [[probability]] of extraction is that indicated by the input [[probability density function]] in the case of a continuous distribution or the [[probability mass function]] in the case of a discrete distribution.
-[[Category:United States Government]]
-[[Category:Statistics]]