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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_STARS_Bullying_Study_alt.wasp
Title produced by softwareChi-Square Test
Date of computationMon, 15 Nov 2010 17:05:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/15/t1289840651ertvp8b8ibjrbeh.htm/, Retrieved Fri, 19 Apr 2024 16:13:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94926, Retrieved Fri, 19 Apr 2024 16:13:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact268

Tree of Dependent Computations

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] [a9208f4f8d3b118336aae915785f2bd9] [Current]
- R             [Chi-Square Test] [STARS Bullying Data] [2010-11-16 14:40:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
-                 [Chi-Square Test] [orignial blueberr...] [2010-11-18 11:31:09] [404b7cc4dc7a1aee40b74eb017dcd509]
-   P               [Chi-Square Test] [chicken tikka mas...] [2010-11-18 11:51:19] [404b7cc4dc7a1aee40b74eb017dcd509]
-   P               [Chi-Square Test] [I'll have a nann ...] [2010-11-18 11:56:58] [404b7cc4dc7a1aee40b74eb017dcd509]
-   P               [Chi-Square Test] [would you like ic...] [2010-11-18 12:03:54] [404b7cc4dc7a1aee40b74eb017dcd509]
-   P               [Chi-Square Test] [griffindor] [2010-11-18 12:19:44] [404b7cc4dc7a1aee40b74eb017dcd509]
-   P                 [Chi-Square Test] [donna kebab] [2010-11-18 15:27:42] [404b7cc4dc7a1aee40b74eb017dcd509]
-   P                 [Chi-Square Test] [I <3 Statistics] [2010-11-18 15:27:42] [3bda7d0113b56426af4979274b798dbe]
- R P                 [Chi-Square Test] [uvduidsuisdui] [2010-11-18 15:33:47] [404b7cc4dc7a1aee40b74eb017dcd509]
- R P                 [Chi-Square Test] [huiapsdnipsda] [2010-11-18 15:33:47] [3bda7d0113b56426af4979274b798dbe]
-                 [Chi-Square Test] [Gender Diffs in B...] [2010-11-18 11:52:03] [3bda7d0113b56426af4979274b798dbe]
-   P             [Chi-Square Test] [Type of bullying] [2010-11-18 11:51:40] [3bda7d0113b56426af4979274b798dbe]
-   P             [Chi-Square Test] [Who's bullying who?] [2010-11-18 12:19:51] [3bda7d0113b56426af4979274b798dbe]
-   P             [Chi-Square Test] [how often bullied?] [2010-11-18 12:28:54] [eb8597fb4247e541f248d83c31d21a58]
-                 [Chi-Square Test] [Compendium 7-1st Q] [2010-11-18 12:30:23] [ee0990d9308e2f5a1381d436d3b8cabd]
-   P             [Chi-Square Test] [type of bullying] [2010-11-18 12:32:09] [eb8597fb4247e541f248d83c31d21a58]
-                 [Chi-Square Test] [gender and how of...] [2010-11-18 12:32:54] [bbe2ba08a2e1004d231616e60eeea4d7]
-   P             [Chi-Square Test] [bullied by same/o...] [2010-11-18 12:34:35] [eb8597fb4247e541f248d83c31d21a58]
-   P             [Chi-Square Test] [bullied by which ...] [2010-11-18 12:37:31] [eb8597fb4247e541f248d83c31d21a58]
-   P             [Chi-Square Test] [gender and type o...] [2010-11-18 12:37:13] [bbe2ba08a2e1004d231616e60eeea4d7]
-                 [Chi-Square Test] [are boys bullied ...] [2010-11-18 12:38:14] [a88d4f8d31dfea292b0820825eeec6b4]
-                 [Chi-Square Test] [] [2010-11-18 12:38:53] [74be16979710d4c4e7c6647856088456]
-                 [Chi-Square Test] [] [2010-11-18 12:40:07] [b48f5f730c5d512b3990977e77ceb182]
-                 [Chi-Square Test] [Chi Square Gender...] [2010-11-18 12:41:36] [05f6bac91e3f566f17ccf54f910765b8]
-                 [Chi-Square Test] [Boys bullied more...] [2010-11-18 12:19:13] [b3d3d2a4e3813ea6c4a04808e1fc1271]
-   P             [Chi-Square Test] [Are boys and girl...] [2010-11-18 12:45:39] [a88d4f8d31dfea292b0820825eeec6b4]
-   P             [Chi-Square Test] [gender and gender...] [2010-11-18 12:44:08] [bbe2ba08a2e1004d231616e60eeea4d7]
-   P               [Chi-Square Test] [gender and gender...] [2010-11-18 12:47:43] [bbe2ba08a2e1004d231616e60eeea4d7]
-                 [Chi-Square Test] [week 7 chi sc. qu...] [2010-11-18 12:42:49] [74be16979710d4c4e7c6647856088456]
-                 [Chi-Square Test] [] [2010-11-18 12:32:16] [a4125828bf8a0d8fb96b4745606c0b5b]
-   P               [Chi-Square Test] [] [2010-11-23 07:06:37] [a4125828bf8a0d8fb96b4745606c0b5b]
-   P                 [Chi-Square Test] [] [2010-11-23 07:20:31] [a4125828bf8a0d8fb96b4745606c0b5b]
-   P                   [Chi-Square Test] [] [2010-11-23 07:34:17] [a4125828bf8a0d8fb96b4745606c0b5b]
-                 [Chi-Square Test] [compenduim7] [2010-11-18 12:43:16] [b57c483c9c7aeaac92ee0309919c11c0]
-   P             [Chi-Square Test] [bulling gender/type] [2010-11-18 12:48:32] [05f6bac91e3f566f17ccf54f910765b8]
-                 [Chi-Square Test] [week 7 chi scuare Q1] [2010-11-18 12:42:49] [dce9abd8694db4553090ea486e4bc791]
-   P             [Chi-Square Test] [gender and year o...] [2010-11-18 12:52:20] [bbe2ba08a2e1004d231616e60eeea4d7]
-   P             [Chi-Square Test] [Compendium 7-Q2] [2010-11-18 12:53:57] [ee0990d9308e2f5a1381d436d3b8cabd]
-                 [Chi-Square Test] [c 7] [2010-11-18 12:45:31] [2736edfd04acceff7ef750b1b52381c2]
-   P             [Chi-Square Test] [Are boys and girl...] [2010-11-18 12:55:41] [a88d4f8d31dfea292b0820825eeec6b4]
-   P               [Chi-Square Test] [Are children bull...] [2010-11-18 13:00:10] [a88d4f8d31dfea292b0820825eeec6b4]
-   P                 [Chi-Square Test] [Are children bull...] [2010-11-18 13:03:47] [a88d4f8d31dfea292b0820825eeec6b4]
-   P                 [Chi-Square Test] [pearson exact test] [2010-11-18 13:22:00] [a88d4f8d31dfea292b0820825eeec6b4]
-                 [Chi-Square Test] [C7] [2010-11-18 12:45:31] [2736edfd04acceff7ef750b1b52381c2]
-   P             [Chi-Square Test] [] [2010-11-18 12:59:14] [74be16979710d4c4e7c6647856088456]
-   P             [Chi-Square Test] [] [2010-11-18 12:55:12] [b48f5f730c5d512b3990977e77ceb182]
-                 [Chi-Square Test] [Are boys bullied ...] [2010-11-18 13:05:45] [cf42e4b21c34e98ab0a195af47af01df]
-   P             [Chi-Square Test] [Types of bullying] [2010-11-18 13:08:41] [cf42e4b21c34e98ab0a195af47af01df]

[Truncated]
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Dataset

Dataseries X:
Download CSV
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'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94926&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94926&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94926&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Tabulation of Results
gender x how_often_bullied
Not_bulOftenRarely
b342430
g532824

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
gender  x  how_often_bullied \tabularnewline
  & Not_bul & Often & Rarely \tabularnewline
b & 34 & 24 & 30 \tabularnewline
g & 53 & 28 & 24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94926&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]gender  x  how_often_bullied[/C][/ROW]
[ROW][C] [/C][C]Not_bul[/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]b[/C][C]34[/C][C]24[/C][C]30[/C][/ROW]
[C]g[/C][C]53[/C][C]28[/C][C]24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94926&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94926&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Results
gender x how_often_bullied
Not_bulOftenRarely
b342430
g532824






Tabulation of Expected Results
gender x how_often_bullied
Not_bulOftenRarely
b39.6723.7124.62
g47.3328.2929.38

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
gender  x  how_often_bullied \tabularnewline
  & Not_bul & Often & Rarely \tabularnewline
b & 39.67 & 23.71 & 24.62 \tabularnewline
g & 47.33 & 28.29 & 29.38 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94926&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]gender  x  how_often_bullied[/C][/ROW]
[ROW][C] [/C][C]Not_bul[/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]b[/C][C]39.67[/C][C]23.71[/C][C]24.62[/C][/ROW]
[C]g[/C][C]47.33[/C][C]28.29[/C][C]29.38[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94926&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94926&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Expected Results
gender x how_often_bullied
Not_bulOftenRarely
b39.6723.7124.62
g47.3328.2929.38






Statistical Results
Pearson's Chi-squared test
Chi Square Statistic3.65
Degrees of Freedom2
P value0.16

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 3.65 \tabularnewline
Degrees of Freedom & 2 \tabularnewline
P value & 0.16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94926&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]3.65[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]2[/C][/ROW]
[ROW][C]P value[/C][C]0.16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94926&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94926&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic3.65
Degrees of Freedom2
P value0.16


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Square ;
Parameters (R input):
par1 = 1 ; 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')