Which statistical measure of central tendency is most affected by extreme scores? a. Mean b. Med

step 1 Central tendency reflects the center of a distribution. So how is central tendency affected and

Which statistical measure of central tendency is most...

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Key Concepts

Central Tendency

Central tendency refers to statistical measures that represent the center or typical value of a data set. It includes concepts like the mean, median, and mode, which are used to summarize a large amount of data by identifying a central point of reference.

Mean

The mean is calculated by summing all the data points and dividing the total by the number of points. It is highly sensitive to extreme scores (outliers) because these unusually high or low values can skew the sum, causing the mean to inaccurately represent the central tendency of the data.

Median

The median is the middle value in a data set when the values are arranged in order. It is less affected by extreme scores than the mean because it only depends on the order of values, not their actual magnitude.

Mode

The mode is the value that appears most frequently in a data set. It focuses on the frequency of occurrence and is not influenced by extreme scores, which means it can remain unchanged even when outliers are present.

Outliers

Outliers are extreme or unusual values in a data set that differ significantly from other observations. They can heavily influence some measures of central tendency, particularly the mean, by pulling it towards the extreme, thus distorting the representation of typical values.

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