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The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.

The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.

The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.

The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.

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

median


What measure of central tendency should be used when your variable is ordinal?

When dealing with ordinal variables, the most appropriate measure of central tendency to use is the median. The median effectively captures the central point of the data by identifying the middle value when the data is ordered, which is suitable for ordinal data that has a rank order but does not have consistent intervals between values. The mode can also be used, especially if the most common category is of interest, but the median typically provides a better representation of the central tendency in ordinal data.


Which measure of central tendency cannot be applied to ordinal data?

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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For ordinal data, the median is the most appropriate measure of central tendency, as it effectively represents the middle value in a ranked order. While the mode can also be used to indicate the most frequently occurring category, the median provides a better summary of the data's central point, especially when the data is not symmetrically distributed. The mean is generally not suitable for ordinal data due to the lack of equal intervals between ranks.