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There is no standard procedure for identifying outliers (it varies according to how thorough the statistical analysis has to be). Typically, you find 1.5*range of the data. Now use this number and add it to the Q1, lower quartile, and also minus it from the Q3, the upper quartile. Now, any data that does not fall between these two numbers is considered to be an "outlier".
Obvioulsy minusing 1.5*range from Q3 can leave you with a negative number, which if you're analyisng real data (such as people or time) will never end up negative. (i.e can't have -2 people, or -10 kg weight etc...). In this case you can assume the lower boundary to be zero.
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What is an outlier in math?
Outliers are basically numbers, in a set of numbers, that don't belong in that set and/or that stand out. For example, in the data set {3, 5, 4, 4, 6, 2, 25, 5, 6, 2} the value of 25 is an outlier. For a set of numerical data (a set of numbers), any value (number) that is markedly smaller or larger than other values is an outlier. This is the qualitative definition. Mathematically, a quantitative definition often given is that an outliers is any number that is more than 1.5 times the interquartile range away from the median. However, this is not definitive and in some cases other definitions will be used.
What does data look like?
a data i like a graph it could be any kind of graph pie,bar,line graph
Can you have more than one outlier in a set of data?
Yes, any data point outside thestandard deviation its an outlier
What is discrte data in maths?
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.
What measure of center best represents data?
The answer depends on the type of data. The mean or median are useless if the data are qualitative (categoric): only the mode is any use. The median is better than the mean is the data are very skewed.
