Hallo!
I have the following problem:
I have this data
44
41
90
55
What I have tried so far (with R):
Chi-squared test for outlier
X-squared = 2.0888, p-value = 0.1484
alternative hypothesis: highest value 90 is an outlier
Dixon test for outliers
Q = 0.7143, p-value = 0.1544
alternative hypothesis: highest value 90 is an outlier
I also tried an Grubbs test (I found a tool online at: http://www.graphpad.com/quickcalcs/Grubbs1.cfm )
I got a critical Z value of 1.45 (1.48 would be significant).
I want to get the value of 90 out by an outlier test. I am not too experienced in outlier testing (I have no experience
). So could anybody name me a test, that is more "sensitive" concerning outliers so that th value of 90 is thrown out of my data? Thanks a lot!
Yours Hubert
I have the following problem:
I have this data
44
41
90
55
What I have tried so far (with R):
Chi-squared test for outlier
X-squared = 2.0888, p-value = 0.1484
alternative hypothesis: highest value 90 is an outlier
Dixon test for outliers
Q = 0.7143, p-value = 0.1544
alternative hypothesis: highest value 90 is an outlier
I also tried an Grubbs test (I found a tool online at: http://www.graphpad.com/quickcalcs/Grubbs1.cfm )
I got a critical Z value of 1.45 (1.48 would be significant).
I want to get the value of 90 out by an outlier test. I am not too experienced in outlier testing (I have no experience
Yours Hubert
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