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*The author of this computation has been verified*
R Software Module: /rwasp_chi_squared_tests.wasp (opens new window with default values)
Title produced by software: Chi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computation: Tue, 15 Nov 2011 12:00:51 -0500
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Nov/15/t1321376485pyaf7jpbpd24moz.htm/, Retrieved Sat, 25 May 2013 16:36:07 +0000
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
System-generated keywords (parent):
t1289920550n76lwz266iv1ecg (pk = 95902)
Estimated Impact
28
 
Dataseries X:
» Textfile « » CSV « » Correlation Matrix « » Notched Boxplots «
 
Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ yule.wessa.net


Tabulation of Results
Happiness x Depression
HILO
HI5746
LO4316


Tabulation of Expected Results
Happiness x Depression
HILO
HI63.5839.42
LO36.4222.58


Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Pearson Chi Square Statistic4.17
Degrees of Freedom1
P value0.04
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2011/Nov/15/t1321376485pyaf7jpbpd24moz/1v5621321376447.png (opens in new window)
http://www.freestatistics.org/blog/date/2011/Nov/15/t1321376485pyaf7jpbpd24moz/1v5621321376447.ps (opens in new window)
Click here to open pdf file.


 
Parameters (Session):
par1 = 5 ; par2 = 6 ; par3 = Pearson Chi-Squared ;
 
Parameters (R input):
par1 = 5 ; par2 = 6 ; par3 = Pearson Chi-Squared ;
 
R code (references can be found in the software module):