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Q: What measure of central tendency should be used when your variable is ordinal?
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What is the appropriate measure of central tendency for an ordinal scale?

median


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.


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

Measurement Scale Best measure of the 'middle' Numerical mode Ordinal Median Interval Symmetrical data- mean skewed data median Ratio Symmetrical data- Mean skewed data median


What is nominal and ordinal in qualitative variables?

In qualitative variables, nominal data involves categories with no inherent order, such as colors or types of fruit. Ordinal data, on the other hand, includes categories that have a meaningful order or ranking, such as education levels or customer satisfaction ratings.


The scale of measurement for the variable eye color is?

Nominal


Is age a ordinal variable?

No It's continuous variable a that also falls under the category of 'ratio level of measurement'


Where On a line graph the dependent variable is plotted on what axis?

The dependent variable is usually plotted on the "y" or ordinal axis.


Is rank in the army a categorical variable?

Yes it is. It is an ordinal variable ( which means it is meaningful ) because rank has an order and it is meaningful to rank the soldiers.


What is the underlying variable of IQ scores or intelligence would be an example of what type of scale?

Ordinal.


Is months of the year a categorical variable?

It depends on how the variable is used. At its simplest, it would be a nominal or categorical value but, if used as part of a time series, it would be an ordinal variable.


What type of variable is the number of car accidents reported in your city?

Depends, if you're looking for the raw score then you have a continuous ordinal variable. If you have range of number of car accidents, then you have an interval variable.


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.