Probability and statistics EBook - Revision history

Tdlee: Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

2020-03-03T20:22:01Z

Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

Dinov: /* Johnson SB Distribution */

2015-11-24T13:44:57Z

‎Johnson SB Distribution

Dinov at 18:57, 27 August 2014

2014-08-27T18:57:33Z

Dinov at 18:57, 27 August 2014

2014-08-27T18:57:17Z

Dinov: /* Chapter XII: Non-Parametric Inference */

2014-06-18T13:59:10Z

‎Chapter XII: Non-Parametric Inference

IvoDinov: /* Chapter VI: Relations Between Distributions */

2012-02-15T16:29:23Z

‎Chapter VI: Relations Between Distributions

IvoDinov: /* Chapter XV: Other Common Continuous Distributions */

2012-01-03T17:55:36Z

‎Chapter XV: Other Common Continuous Distributions

IvoDinov: /* Some Other Common Distributions */

2012-01-03T17:53:35Z

‎Some Other Common Distributions

IvoDinov: /* Some Other Common Distributions */

2012-01-03T17:53:25Z

‎Some Other Common Distributions

IvoDinov: typo

2012-01-03T17:49:32Z

typo

← Older revision		Revision as of 20:22, 3 March 2020
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	* SOCR Home page: http://www.socr.ucla.edu		* SOCR Home page: http://www.socr.ucla.edu

−	{{translate\|pageName=http://wiki.~~stat~~.~~ucla~~.edu~~/socr~~/index.php?title=Probability_and_statistics_EBook}}	+	"{{translate\|pageName=http://wiki.socr.umich.edu/index.php?title=Probability_and_statistics_EBook}}

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 ===[[AP_Statistics_Curriculum_2007_Johnson SB| Johnson SB Distribution]]===
-The Johnson SB distribution is related to the Normal distribution. Four parameters are needed: <math>\gamma, \delta, \lambda, \epsilon</math>. It is a continuous distribution defined on bounded range <math> \epsilon \leq x \leq \epsilon + \lambda </math>, and the distribution can be symmetric or asymmetric.
+The Johnson SB distribution is related to the Normal distribution. Four parameters are needed: <math>\gamma, \delta, \lambda, \epsilon.</math> It is a continuous distribution defined on bounded range <math> \epsilon \leq x \leq \epsilon + \lambda </math>, and the distribution can be symmetric or asymmetric.
 ===[[AP_Statistics_Curriculum_2007_Rice| Rice Distribution]]===

← Older revision		Revision as of 18:57, 27 August 2014
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−	[[SOCR_Books\|SOCR Books]] This is a General Statistics Curriculum EBook, which includes Advanced-Placement (AP) probability and statistics materials.	+	[[SOCR_Books\|SOCR Books]]: This is a General Statistics Curriculum EBook, which includes Advanced-Placement (AP) probability and statistics materials.
	[[Image:EBook_Logo.jpg\|150px\|thumbnail\|right\| [[EBook]] ]]		[[Image:EBook_Logo.jpg\|150px\|thumbnail\|right\| [[EBook]] ]]

← Older revision		Revision as of 18:57, 27 August 2014
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−	This is a General Statistics Curriculum ~~E-Book~~, which includes Advanced-Placement (AP) materials.	+	[[SOCR_Books\|SOCR Books]] This is a General Statistics Curriculum EBook, which includes Advanced-Placement (AP) probability and statistics materials.
	[[Image:EBook_Logo.jpg\|150px\|thumbnail\|right\| [[EBook]] ]]		[[Image:EBook_Logo.jpg\|150px\|thumbnail\|right\| [[EBook]] ]]

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 Depending upon whether the samples are dependent or independent, we use different statistical tests.
-===[[AP_Statistics_Curriculum_2007_NonParam_ANOVA | Differences of Means of Several Independent Samples]]===
+===[[AP_Statistics_Curriculum_2007_NonParam_ANOVA | Differences of Medians of Several Independent Samples]]===
 We now extend the [[EBook#Chapter_XI:_Analysis_of_Variance_.28ANOVA.29 | multi-sample inference which we discussed in the ANOVA section]], to the situation where the [[AP_Statistics_Curriculum_2007_ANOVA_1Way#ANOVA_Conditions| ANOVA assumptions]] are invalid.

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 ==Chapter VI: Relations Between Distributions==
 In this chapter, we will explore the relationships between different distributions. This knowledge will help us to compute difficult probabilities using reasonable approximations and identify appropriate probability models, graphical and statistical analysis tools for data interpretation.
-The complete list of all [[About_pages_for_SOCR_Distributions |SOCR Distributions is available here]] and the [http://www.Distributome.org Distributome applet] provides an interactive graphical interface for exploring the relations between different distributions.
+The complete list of all [[About_pages_for_SOCR_Distributions |SOCR Distributions is available here]] and the [http://www.Distributome.org Probability Distributome project] provides an interactive graphical interface for exploring the relations between different distributions.
 ===[[AP_Statistics_Curriculum_2007_Limits_CLT |The Central Limit Theorem]]===

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 ==Chapter XV: Other Common Continuous Distributions==
-Earlier we discussed some classes of commonly used [[AP_Statistics_Curriculum_2007#Chapter IV:_Probability_Distributions |Discrete]] and [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Continuous]] distributions. Below are some continuous distributions with broad range of applications. The complete list of all [[About_pages_for_SOCR_Distributions |SOCR Distributions is available here]].
+Earlier we discussed some classes of commonly used [[AP_Statistics_Curriculum_2007#Chapter IV:_Probability_Distributions |Discrete]] and [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Continuous]] distributions. Below are some continuous distributions with broad range of applications. The complete list of all [[About_pages_for_SOCR_Distributions |SOCR Distributions is available here]]. The [http://www.Distributome.org Probability Distributome Project] provides an interactive navigator for traversal, discovery and exploration of probability distribution properties and interrelations.
 ===[[AP_Statistics_Curriculum_2007_Gamma| Gamma Distribution]]===
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 ===[[AP_Statistics_Curriculum_2007_Uniform| Uniform Distribution]]===
 In the Continuous Uniform distribution, all intervals of the same length are equally probable. In the Discrete Uniform distribution, there are n equally spaced values, each of which have the same 1/n probability of being observed.
 ==[[AP_Statistics_Curriculum_2007_UnderDevelopment | Additional EBook Chapters (under Development)]]==

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 ===[[AP_Statistics_Curriculum_2007_Bayesian_Other | Some Other Common Distributions]]===
-This section explains the binomial, Poisson, and uniform distributions in terms of Bayesian Inference (also [[Probability_and_statistics_EBook#Chapter_XV:_Other_Common_Continuous_Distributions|see the chapter on other common distributions]).
+This section explains the binomial, Poisson, and uniform distributions in terms of Bayesian Inference (also [[Probability_and_statistics_EBook#Chapter_XV:_Other_Common_Continuous_Distributions|see the chapter on other common distributions]]).
 ===[[AP_Statistics_Curriculum_2007_Bayesian_Hypothesis | Hypothesis Testing]]===

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 ===[[EBook_copyright | Copyrights]]===
-The Probability and Statistics EBook is on freely and openly accessible electronic book developed by SOCR and the general community.
+The Probability and Statistics EBook is a freely and openly accessible electronic book developed by SOCR and the general community.
 ==Chapter I: Introduction to Statistics==