METHODS OF DATA ANALYSIS
MEASURES OF CENTRAL TENDENCY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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leave it the same
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increase the average
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decrease the average
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None of the above
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Detailed explanation-1: -In simple terms, an outlier is an extremely high or extremely low data point relative to the nearest data point and the rest of the neighboring co-existing values in a data graph or dataset you’re working with. Outliers are extreme values that stand out greatly from the overall pattern of values in a dataset or graph.
Detailed explanation-2: -The high outlier will increase both the mean and median, the higher the outlier go the more mean and median will be affected. The size of the data size also affects how much mean and median changes, the bigger the data set the less mean and median will change.
Detailed explanation-3: -Set up a filter in your testing tool. Even though this has a little cost, filtering out outliers is worth it. Remove or change outliers during post-test analysis. Change the value of outliers. Consider the underlying distribution. Consider the value of mild outliers. 13-Dec-2022