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)
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.
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.
There is not a mean of a single number. To calculate a mean, you need a data set. The mean is given by the sum of all the data, divided by the number of pieces of data.
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.
There is no single function in Excel.You calculate the mean (average).For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean (average) of these absolute deviations.
add all the numbers together then divide by how many numbers there are the mean for this data set is about 3.3933 --- and if you're too lazy to calculate that ... http://www.easycalculation.com/statistics/standard-deviation.php add all the numbers together then divide by how many numbers there are the mean for this data set is about 3.3933 --- and if you're too lazy to calculate that ... http://www.easycalculation.com/statistics/standard-deviation.php
You cannot "solve" ungrouped data since ungrouped data is not a question. You can calculate the mean or the variance, standard deviation or skewness, or a whole range of other measures for ungrouped data. But you have not specified what.
Cluster refers to data whose values are close together according to some metric.
It is not a standard notation, but it could define either an application whose data update/retrieval model is based on database queries rather than files, or it could mean an application whose main purpose is to query data sources.
Mean is the average number in a set of data. To calculate mean, you add up all the numbers in a set of data and divide that sum by the amount of numbers you just added up. Example: numbers: 2, 2, 1, 3 2+2+1+3=8 How many numbers in the set? There are 4 so you divide the sum we just found by 4. 8 divided by 4=2 The mean/average of this set of data is 2.