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1,201 bytes added ,  04:47, 26 November 2013
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==Examples==
 
==Examples==
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A student investigated the chance of getting viral fever for a period of a school that took vitamin tablets every day.
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A student investigated whether taking vitamin tablets every day for a school term affected peoples chances of getting a Viral fever during the period. The total number of students 880. In that 639 students didn't get viral fever and 241 students got fever .But the expected ratio is 1:3.
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'''Answer''':
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If the ratio is 1:3 and the total number of observed individuals is 880, then the expected numerical values should be 660 didn't get and 220 students will get that fever. 
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                      Didn't get fever        Get fever
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observed          639                          241
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values               
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Expected
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values              660                            220
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{| id="TABLE3" class="SpreadSheet blue"
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|- class="even"
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!
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! No Fever
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! Get Fever
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|- class="odd"
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!Observed Values
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| 639
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| 241
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|- class="even"
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! Expected Values
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| 660
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| 220
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|}
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(oi-ei)^2/ei        0.668                        2
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The x^2 value is 2.668
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Now df=(r-1)(c-1)=(2-1)(2-1)=1
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From the chisquared distribution probability table with df is 1 for the X^2 value 2.668 is  0.10.
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i.e CHITEST(or,er)=0.10"
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  Let’s see an example
 
  Let’s see an example
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