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chi-square_test [2024/12/08 23:15] hkimscilchi-square_test [2025/11/30 23:11] (current) hkimscil
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     * like to using direct mathematical concepts. There are a lot of repetition     * like to using direct mathematical concepts. There are a lot of repetition
     * here (Dr. Rice once talked about this).     * here (Dr. Rice once talked about this).
-  * Pictures are taken by your TA at the RUSURE +  * Pictures are taken by your TA at the RUSURE campaign  
-    * campaign directed under Dr. Letterman and Dr. Stewart during the year, 2000. +    * which was directed by Dr. Letterman and Dr. Stewart during the year, 2000. 
-    * The study is ongoing at the SCILS department.+    * It is an ongoing study at the SCILS department.
  
 Let's start with what we know first. Let's start with what we know first.
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 |  yes  |  5  |  32  |  13  |  50  |    |  |  yes  |  5  |  32  |  13  |  50  |    | 
 |  Expected value  |  (20)  |  (21)  |  (9)  |  50  |    |  |  Expected value  |  (20)  |  (21)  |  (9)  |  50  |    | 
-|  (O-T)2 / T  |  (-15)<sup>2</sup>/20=11.25  |  (11)<sup>2</sup>/20=5.76  |  (4)<sup>2</sup>/20=1.78  |    |  18.79  | +|  (O-T)2 / T  |  (-15)<sup>2</sup>/20=11.25  |  (11)<sup>2</sup>/21=5.76  |  (4)<sup>2</sup>/9=1.78  |    |  18.79  | 
 |  no  |  35  |  10  |  5  |  50  |    |  |  no  |  35  |  10  |  5  |  50  |    | 
 |    |  (20)  |  (21)  |  (9)  |  50  |    |  |    |  (20)  |  (21)  |  (9)  |  50  |    | 
-|    |  (15)<sup>2</sup>/20=11.25  |  (-11)<sup>2</sup>/20=5.76  |  (-4)<sup>2</sup>/20=1.78  |    |  18.79  | +|    |  (15)<sup>2</sup>/20=11.25  |  (-11)<sup>2</sup>/21=5.76  |  (-4)<sup>2</sup>/9=1.78  |    |  18.79  | 
 |  Total  |  40  |  42  |  18  |  100  |  37.58  |  |  Total  |  40  |  42  |  18  |  100  |  37.58  | 
 Chi-square value = 37.58. \\  Chi-square value = 37.58. \\ 
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 9.210 at 0.01 probability 9.210 at 0.01 probability
 <code> <code>
-> qchisq(0.95, 2)+> qchisq(0.95, 2) # in R, we don't use 0.975 since we look up (the distribution table has) square values
 [1] 5.991465 [1] 5.991465
-> qchisq(0.99, 2)+> qchisq(0.99, 2) 
 [1] 9.21034 [1] 9.21034
  
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  5.991 (0.05 probability)   5.991 (0.05 probability) 
  9.210 (0.01 probability)   9.210 (0.01 probability) 
 +
 +OR
 +<code>
 +> pchisq(2.73, df=2)
 +[1] 0.7446193
 +</code>
  
 Now the rest of what you need to do is to compare the numbers (chi-square value and the critical values). Now the rest of what you need to do is to compare the numbers (chi-square value and the critical values).
chi-square_test.1733699723.txt.gz · Last modified: by hkimscil

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