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The mean cannot be used with ordinal data. The best measure of central tendency for ordinal data is usually the median.

A common example of ordinal data is the scale you see in many surveys. 1=Strongly disagree; 2=Disagree; 3=Neutral; 4=Agree; 5=Strongly agree.

The mean would have not meaning here ( no pun intended)

The median is simple the middle value. The mode does have meaning.

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Q: Which measure of central tendency cannot be applied to ordinal data?
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Related questions

What is the appropriate measure of central tendency for an ordinal scale?

median


What measure of central tendency may not exist for all numeric data sets?

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How do you know which measure of central tendency best describes the data?

The answer will depend on the nature of the data.If the data are qualitative then the only option is the mode.If they are ordinal then you have a choice between the mode and median. The mode may be a better measure when the data are very skewed. Otherwise the median is usually better.For any higher level of measurement is is also possible to calculate the mean. In such cases the median or mean are better. For very skew distributions the median is better but otherwise is should be the mean.


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A Explain the difference between cardinal and ordinal approach of consumer behavior?

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