Which measure of central tendency is used to catch outliers in the data?
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Since the options are not given, I am giving a general answer.
The correct answer should be - Mean.
An outlier is a value that lies outside the range or the values given in a set of data. The presence of an outlier in a given set of data can alter the results of the analysis. So, it is important to detect and remove them from the set.
The Mean is a measure of central tendency which is highly sensitive to outliers. Median and mode are less affected by the presence of outliers so they cannot be detected by them.
The correct answer should be - Mean.
An outlier is a value that lies outside the range or the values given in a set of data. The presence of an outlier in a given set of data can alter the results of the analysis. So, it is important to detect and remove them from the set.
The Mean is a measure of central tendency which is highly sensitive to outliers. Median and mode are less affected by the presence of outliers so they cannot be detected by them.
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Answer:
Median is the exact middle value and most suitable to catch outliers.
Step-by-step explanation:
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