Yes, plenty.
Any non-numerical data, for example a survey of favourite colours - it is nonsense to talk about the "mean average" colour (though it is perfectly reasonable to talk about the "mode average" colour, which would be the colour that most people surveyed said was their favourite) - besides how could you calculate it: you can't add Red to Green to Blue to Yellow and divided by 4 (for example).
Also, beware of datasets which look numeric but aren't. For example: shoe sizes - they use numbers as labels*; it would be nonsense for a shoe shop to try to find the mean average shoe size when considering what shoes have been bought.
* The UK shoe sizes are based on increments of length of a barleycorn (13 inch)
Chat with our AI personalities
If the set is finite, and the individual numbers are well-defined, then you can always calculate the arithmetic mean. In the case of certain infinite sets, I believe there are circumstances where the average is not defined.
i want to calculate the percentage of mean value of particular data.
Mean data are observations whose values are equal to the mean of the data set. By default it is the arithmetic mean but it could be the geometric or harmonic mean - if those measures are more appropriate.
No, not always. It depends on the type of data you collect. If it is quantitative data, you will be able to calculate a mean. If it is qualitative data, a mean can't be calculated but you can describe the data in terms of a mode.
The mean is simply the average. Mean = Sum of data divided by the total number of observations.
You can calculate the mean, median, and std dev for discrete or continuous data. Each type has its own set of formulas.