The most appropriate measure of central tendency depends on the nature of the data. The mean is useful for normally distributed data without outliers, while the median is better for skewed distributions or when outliers are present, as it provides a more accurate representation of the central point. The mode is ideal for categorical data where we want to identify the most frequently occurring value. Therefore, the context and characteristics of the data should guide the choice of measure.
The Mode
it depends on what is being measured
Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.
The mode reports that value that occurs most often.
Its the one most commonly used but outliers can seriously distort the mean.
That depends on the data.
Since gender is a qualitative variable, the mode is the only one of the main measures of central tendency.
The mean.
Mean or average is the most common measure of central tendency of a sample.
The mode.
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
The mode is the observation that features most often.
Accident srry meep!
The measure of central tendency that refers to the value that appears most frequently in a data set is the mode. It represents the data point with the highest frequency of occurrence.
The Mode
it depends on what is being measured
The mode.