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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_STARS_Bullying_Study_alt.wasp

Title produced by software

Chi-Square Test

Date of computation

Mon, 14 Nov 2011 06:58:51 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/14/t1321272064i92wi223mgon2y5.htm/, Retrieved Fri, 19 Apr 2024 23:03:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141915, Retrieved Fri, 19 Apr 2024 23:03:24 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

644

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [Bullying by Gender] [2009-11-23 19:30:44] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Chi Square Measure of Association- Free Statistics Software (Calculator)] [Bullying by Gende...] [2009-11-24 18:28:32] [b98453cac15ba1066b407e146608df68]
- R       [Chi Square Measure of Association- Free Statistics Software (Calculator)] [STARS Bullying Study] [2009-11-25 00:02:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD      [Chi-Square Test] [STARS Bullying Study] [2010-11-15 17:05:23] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R           [Chi-Square Test] [STARS Bullying Data] [2010-11-16 14:40:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
-  MP             [Chi-Square Test] [chi2 Example - Ty...] [2011-11-14 11:58:51] [a9208f4f8d3b118336aae915785f2bd9] [Current]
- R P               [Chi-Square Test] [Are Boys Bullied ...] [2011-11-16 20:16:28] [c38772d0dfefbe8aa8c718965b197cf4] 
- R PD              [Chi-Square Test] [Bullying frequenc...] [2011-11-17 09:43:27] [68da2a3ec537521c4857f5c0bd5ed145] 
- R                 [Chi-Square Test] [Chi2] [2011-11-17 11:03:15] [803f089ae787812348a044658060aefb] 
-   P                 [Chi-Square Test] [Chi2 Factors 1&2] [2011-11-17 11:10:32] [803f089ae787812348a044658060aefb] 
-   P                   [Chi-Square Test] [Chi Gender vs typ...] [2011-11-17 11:40:43] [803f089ae787812348a044658060aefb] 
-   P                     [Chi-Square Test] [SexOfBully] [2011-11-17 11:53:43] [803f089ae787812348a044658060aefb] 
-   P                       [Chi-Square Test] [Year] [2011-11-17 12:07:24] [803f089ae787812348a044658060aefb] 
- RM                [Chi-Square Test] [chi square] [2011-11-17 11:03:45] [8c60ff0ea9ca69d00e25d4c2af5148c1] 
- R                 [Chi-Square Test] [Original Data] [2011-11-17 11:04:58] [eaa1051df62e3cae1e5cf7c042ac8911] 
-   P                 [Chi-Square Test] [GEnder difference...] [2011-11-17 11:43:55] [eaa1051df62e3cae1e5cf7c042ac8911] 
-   P                   [Chi-Square Test] [Is the same gende...] [2011-11-17 11:54:29] [eaa1051df62e3cae1e5cf7c042ac8911] 
-   P                     [Chi-Square Test] [Is thevictim bull...] [2011-11-17 12:10:44] [eaa1051df62e3cae1e5cf7c042ac8911] 
- R P               [Chi-Square Test] [gender and how of...] [2011-11-17 11:10:33] [8c60ff0ea9ca69d00e25d4c2af5148c1] 
- R P               [Chi-Square Test] [Gender Difference...] [2011-11-17 11:10:58] [eaa1051df62e3cae1e5cf7c042ac8911] 
- R P               [Chi-Square Test] [type of bullying] [2011-11-17 11:41:42] [8c60ff0ea9ca69d00e25d4c2af5148c1] 
- R P               [Chi-Square Test] [gender of bully] [2011-11-17 11:53:43] [8c60ff0ea9ca69d00e25d4c2af5148c1] 
- RM                [Chi-Square Test] [] [2011-11-17 11:55:17] [483074838c7eb9e0ff7f7d3e3c3f8586] 
- RM                [Chi-Square Test] [chi square test] [2011-11-17 11:57:51] [a68359a26e24fd92b609f4c95c254176] 
- R PD              [Chi-Square Test] [Gender/number of ...] [2011-11-17 12:04:33] [e3bca26b0e60ee0c7c12e4668b30341a] 
- R PD              [Chi-Square Test] [Gender/number of ...] [2011-11-17 12:04:33] [e3bca26b0e60ee0c7c12e4668b30341a] 
- R                 [Chi-Square Test] [reproduced chi2- ...] [2011-11-17 12:05:11] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
-   P                 [Chi-Square Test] [Are children bull...] [2011-11-17 12:28:36] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
-   P                   [Chi-Square Test] [Are boys bullied ...] [2011-11-17 12:32:28] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
-   P                     [Chi-Square Test] [Are boys and girl...] [2011-11-17 12:34:00] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
-  M                        [Chi-Square Test] [Are children bull...] [2011-11-17 12:34:44] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
-   P                   [Chi-Square Test] [Q3] [2011-11-26 18:02:44] [8be39d68cf3e859c626e6f1d2306767c] 
- R  D              [Chi-Square Test] [] [2011-11-17 12:06:08] [483074838c7eb9e0ff7f7d3e3c3f8586] 
-   PD                [Chi-Square Test] [] [2011-11-17 12:24:19] [483074838c7eb9e0ff7f7d3e3c3f8586] 
- R P               [Chi-Square Test] [Gender Vs Ways of...] [2011-11-17 12:05:27] [68da2a3ec537521c4857f5c0bd5ed145] 
- R P               [Chi-Square Test] [Age of bully] [2011-11-17 12:06:44] [8c60ff0ea9ca69d00e25d4c2af5148c1] 
- R PD              [Chi-Square Test] [compendium week 7] [2011-11-17 12:11:28] [d2893370a6bab19f4850e41a1f5affd5] 
-   PD                [Chi-Square Test] [compendium week 7] [2011-11-17 13:43:56] [d2893370a6bab19f4850e41a1f5affd5] 
-   P               [Chi-Square Test] [Exact pearsons co...] [2011-11-17 12:16:36] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
- R P                 [Chi-Square Test] [Are children bull...] [2011-11-17 12:46:48] [8c81da13f08bc9bfea791eeaf1eaf0a1] 
- R P               [Chi-Square Test] [Week 7 Q1. Gender...] [2011-11-17 12:15:42] [bf1ddb3cd45fb5d723b760bc40755ff6] 
- R PD              [Chi-Square Test] [compendium week 7] [2011-11-17 12:16:36] [d2893370a6bab19f4850e41a1f5affd5] 
-   PD                [Chi-Square Test] [compendium week 7] [2011-11-17 13:39:27] [d2893370a6bab19f4850e41a1f5affd5] 
- R                 [Chi-Square Test] [gender/freq. bullied] [2011-11-17 12:16:45] [e3bca26b0e60ee0c7c12e4668b30341a] 
- R P               [Chi-Square Test] [week 7] [2011-11-17 12:20:06] [bd36d4ac3e20250331cee586bb86a82a] 
-   P                 [Chi-Square Test] [week 7] [2011-11-17 12:30:03] [bd36d4ac3e20250331cee586bb86a82a] 
-   P                   [Chi-Square Test] [Are boys bullied ...] [2011-11-17 12:39:24] [bd36d4ac3e20250331cee586bb86a82a] 
- R PD              [Chi-Square Test] [question 1 are bo...] [2011-11-17 12:14:52] [74be16979710d4c4e7c6647856088456] 
-  M                  [Chi-Square Test] [t3] [2011-11-29 14:25:09] [8be39d68cf3e859c626e6f1d2306767c] 
- R PD              [Chi-Square Test] [] [2011-11-17 12:15:51] [b65bb2f2e9cfcacaf325b787365dba62] 
- R P               [Chi-Square Test] [boys bullied more...] [2011-11-17 12:17:46] [6c7941ad1a28776e0a3d3478d8e8be50] 
- R P               [Chi-Square Test] [week 7 blog chi2 ...] [2011-11-17 12:23:41] [74be16979710d4c4e7c6647856088456] 
-   P                 [Chi-Square Test] [week 7 blog - chi...] [2011-11-17 13:00:54] [74be16979710d4c4e7c6647856088456] 
-   P                   [Chi-Square Test] [week 7 blog - chi...] [2011-11-17 13:13:27] [74be16979710d4c4e7c6647856088456] 

[Truncated]

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Histogram

Boxplots

'g'	'Often'	'Both'	'Same'	'Boys'
'g'	'Not_bul'	'Physical'	'Same'	'Boys'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'g'	'Rarely'	'Mental'	'Differnt'	'Boys'
'b'	'Not_bul'	'Physical'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Physical'	'Differnt'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Same'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Mental'	'Both'	'Boys'
'g'	'Often'	'Mental'	'Same'	'Both'
'b'	'Often'	'Both'	'Differnt'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Mental'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Mental'	'Differnt'	'Boys'
'b'	'Rarely'	'Both'	'Both'	'Boys'
'b'	'Not_bul'	'Mental'	'Differnt'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Not_bul'	'Differnt'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Same'	'Boys'
'g'	'Often'	'Mental'	'Differnt'	'Girls'
'b'	'Often'	'Both'	'Differnt'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Mental'	'Not_bul'	'Boys'
'b'	'Rarely'	'Both'	'Differnt'	'Boys'
'b'	'Often'	'Both'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Both'	'Same'	'Both'
'g'	'Often'	'Mental'	'Differnt'	'Both'
'b'	'Often'	'Both'	'Differnt'	'Both'
'g'	'Rarely'	'Physical'	'Differnt'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Mental'	'Differnt'	'Boys'
'g'	'Often'	'Mental'	'Differnt'	'Both'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Both'	'Same'	'Girls'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Physical'	'Differnt'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Often'	'Mental'	'Differnt'	'Girls'
'g'	'Often'	'Both'	'Differnt'	'Both'
'b'	'Rarely'	'Physical'	'Differnt'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Both'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Often'	'Not_bul'	'Same'	'Boys'
'g'	'Often'	'Mental'	'Both'	'Girls'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'b'	'Often'	'Both'	'Differnt'	'Boys'
'b'	'Rarely'	'Both'	'Differnt'	'Boys'
'g'	'Rarely'	'Not_bul'	'Not_bul'	'Girls'
'b'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'b'	'Often'	'Mental'	'Same'	'Boys'
'b'	'Not_bul'	'Mental'	'Not_bul'	'Not_bul'
'b'	'Often'	'Physical'	'Same'	'Boys'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Both'	'Both'	'Both'
'g'	'Rarely'	'Mental'	'Both'	'Both'
'g'	'Not_bul'	'Mental'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Mental'	'Same'	'Boys'
'b'	'Rarely'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Mental'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Same'	'Both'
'g'	'Not_bul'	'Mental'	'Same'	'Both'
'g'	'Often'	'Physical'	'Differnt'	'Both'
'b'	'Often'	'Not_bul'	'Same'	'Boys'
'b'	'Often'	'Physical'	'Differnt'	'Boys'
'g'	'Not_bul'	'Mental'	'Same'	'Not_bul'
'b'	'Often'	'Mental'	'Differnt'	'Boys'
'b'	'Rarely'	'Mental'	'Both'	'Boys'
'g'	'Often'	'Mental'	'Same'	'Girls'
'g'	'Often'	'Mental'	'Same'	'Girls'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Mental'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Often'	'Mental'	'Not_bul'	'Both'
'g'	'Often'	'Both'	'Both'	'Girls'
'g'	'Often'	'Mental'	'Same'	'Girls'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'g'	'Often'	'Mental'	'Both'	'Boys'
'b'	'Rarely'	'Mental'	'Both'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Physical'	'Differnt'	'Boys'
'g'	'Often'	'Both'	'Same'	'Girls'
'g'	'Rarely'	'Physical'	'Same'	'Boys'
'b'	'Often'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Both'	'Both'	'Boys'
'b'	'Often'	'Not_bul'	'Both'	'Boys'
'b'	'Rarely'	'Physical'	'Same'	'Boys'
'b'	'Not_bul'	'Both'	'Differnt'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Often'	'Both'	'Both'	'Boys'
'b'	'Rarely'	'Both'	'Both'	'Boys'
'b'	'Often'	'Physical'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'g'	'Often'	'Mental'	'Same'	'Girls'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Mental'	'Differnt'	'Boys'
'g'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Mental'	'Both'	'Boys'
'g'	'Rarely'	'Physical'	'Differnt'	'Boys'
'g'	'Rarely'	'Both'	'Both'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Often'	'Mental'	'Same'	'Girls'
'b'	'Rarely'	'Physical'	'Same'	'Boys'
'b'	'Rarely'	'Mental'	'Differnt'	'Boys'
'g'	'Often'	'Mental'	'Both'	'Both'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Both'	'Not_bul'	'Not_bul'
'g'	'Often'	'Mental'	'Differnt'	'Boys'
'b'	'Rarely'	'Mental'	'Both'	'Boys'
'g'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Often'	'Mental'	'Same'	'Girls'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Same'	'Girls'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Both'	'Same'	'Boys'
'g'	'Often'	'Both'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Both'	'Same'	'Boys'
'b'	'Often'	'Mental'	'Both'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Mental'	'Same'	'Boys'
'b'	'Rarely'	'Physical'	'Same'	'Boys'
'b'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Often'	'Mental'	'Differnt'	'Boys'
'g'	'Often'	'Both'	'Both'	'Boys'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Often'	'Mental'	'Not_bul'	'Both'
'b'	'Rarely'	'Physical'	'Same'	'Boys'
'b'	'Often'	'Mental'	'Not_bul'	'Both'
'g'	'Rarely'	'Mental'	'Same'	'Boys'
'g'	'Often'	'Not_bul'	'Same'	'Both'
'b'	'Rarely'	'Physical'	'Differnt'	'Boys'
'g'	'Rarely'	'Both'	'Both'	'Both'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Mental'	'Differnt'	'Boys'
'b'	'Rarely'	'Mental'	'Differnt'	'Boys'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Mental'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Physical'	'Differnt'	'Boys'
'g'	'Not_bul'	'Mental'	'Not_bul'	'Not_bul'
'g'	'Often'	'Both'	'Same'	'Both'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'	'Not_bul'	'Not_bul'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141915&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141915&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141915&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Tabulation of Results
type_of_bullying x how_often_bullied
	Not_bul	Often	Rarely
Both	2	16	9
Mental	10	26	29
Not_bul	72	5	5
Physical	3	5	11

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
type_of_bullying  x  how_often_bullied \tabularnewline
  & Not_bul & Often & Rarely \tabularnewline
Both & 2 & 16 & 9 \tabularnewline
Mental & 10 & 26 & 29 \tabularnewline
Not_bul & 72 & 5 & 5 \tabularnewline
Physical & 3 & 5 & 11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141915&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]type_of_bullying  x  how_often_bullied[/C][/ROW]
[ROW][C] [/C][C]Not_bul[/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]Both[/C][C]2[/C][C]16[/C][C]9[/C][/ROW]
[C]Mental[/C][C]10[/C][C]26[/C][C]29[/C][/ROW]
[C]Not_bul[/C][C]72[/C][C]5[/C][C]5[/C][/ROW]
[C]Physical[/C][C]3[/C][C]5[/C][C]11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141915&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141915&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
type_of_bullying x how_often_bullied
	Not_bul	Often	Rarely
Both	2	16	9
Mental	10	26	29
Not_bul	72	5	5
Physical	3	5	11

Tabulation of Expected Results
type_of_bullying x how_often_bullied
	Not_bul	Often	Rarely
Both	12.17	7.27	7.55
Mental	29.3	17.51	18.19
Not_bul	36.96	22.09	22.94
Physical	8.56	5.12	5.32

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
type_of_bullying  x  how_often_bullied \tabularnewline
  & Not_bul & Often & Rarely \tabularnewline
Both & 12.17 & 7.27 & 7.55 \tabularnewline
Mental & 29.3 & 17.51 & 18.19 \tabularnewline
Not_bul & 36.96 & 22.09 & 22.94 \tabularnewline
Physical & 8.56 & 5.12 & 5.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141915&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]type_of_bullying  x  how_often_bullied[/C][/ROW]
[ROW][C] [/C][C]Not_bul[/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]Both[/C][C]12.17[/C][C]7.27[/C][C]7.55[/C][/ROW]
[C]Mental[/C][C]29.3[/C][C]17.51[/C][C]18.19[/C][/ROW]
[C]Not_bul[/C][C]36.96[/C][C]22.09[/C][C]22.94[/C][/ROW]
[C]Physical[/C][C]8.56[/C][C]5.12[/C][C]5.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141915&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141915&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
type_of_bullying x how_often_bullied
	Not_bul	Often	Rarely
Both	12.17	7.27	7.55
Mental	29.3	17.51	18.19
Not_bul	36.96	22.09	22.94
Physical	8.56	5.12	5.32

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	112.66
Degrees of Freedom	6
P value	0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 112.66 \tabularnewline
Degrees of Freedom & 6 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141915&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]112.66[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]6[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141915&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141915&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	112.66
Degrees of Freedom	6
P value	0

Parameters (Session):

par1 = 3 ; par2 = 2 ; par3 = Pearson Chi-Square ;

Parameters (R input):

par1 = 3 ; par2 = 2 ; par3 = Pearson Chi-Square ;

R code (references can be found in the software module):

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi Square by simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code