Topic: Determining Outliers
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How can an outlier be determined in a line plot?
If is does not cluster with the other points on a plot. example; the asterik is the outlier ........ ... ...... ...... .. ........ .. ...... ... .. . ...... __________* .. .. . . . . . .. .. Read More »
Source: http://wiki.answers.com/Q/How_can_an_outlier_be_determined_in_a_l...
How might you determine outliers in the data?
you use a line plot Read More »
Source: http://wiki.answers.com/Q/How_might_you_determine_outliers_in_the...
How can you use a z score to determine outliers?
Best to use a histogram i think! z scores can probably be used too however they seem more a method of how to transform outliers in workable scores. Read More »
Source: http://wiki.answers.com/Q/How_can_you_use_a_z_score_to_determine_...
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Determining Outliers
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Westy's answer is a reasonable description of an outlier. How to determine if an individual data point is truly an outlier requires some statistical analysis, and isn't as scary as it looks in the reference below to Wikipedia. Basically, yo...
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Source: http://answers.yahoo.com/question/index?qid=20080831053712AAdZed5
Here's an example (possibly test scores from a class): Q1: 80 Q3: 90 scores: 64, 108 Both of these are outliers since 64 < 80-1.5*10 and 108 > 90 + 1.5*10
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Source: http://answers.yahoo.com/question/index?qid=20100223044349AA0ButL
In my stats class if we have a set of data, we find the min, first quartile, median, third quartile, and max. And, from there, you can use the outlier formula. Which is, lower bound=Q1-(1.5IQR) upper bound=Q3+(1.5IQR) IQR is the Interquarti...
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Source: http://answers.yahoo.com/question/index?qid=20100129164537AAirsFc
There is no mathematical definition of what constitutes an outlier -- it's just a vague concept, and depends on what you mean. The 3SD mention above is indeed often used. But remember that such "outliers" will *NORMALLY* appear about .26% o...
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Source: http://answers.yahoo.com/question/index?qid=20080806101409AAxyCmZ
1. Subtract the lower quartile from the upper quartile. This is the inter-quartile range. 2. Multiply the inter-quartile range by 1.5. This is your "outlier checker" 3. Add the outlier checker to the upper quartile. See if your upper extrem...
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Source: http://answers.yahoo.com/question/index?qid=20080429215658AACB1il
Use a Q test. This is only useful if you have one specific value in mind, and if you're wondering if it can be included in the data or not. Q calc = gap/range Where gap is the absolute value of the difference between the value in question a...
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Source: http://answers.yahoo.com/question/index?qid=20091205141205AAzf4Ei
