It means that the 'data' (i.e.: information or statistics) that is given or quoted, is subject to more than one interpretation, or that sources of the data give varying information for the same subject.
Categorical data varies when there are a variety of different categories.
The characteristic of data that measures the amount that data values vary is called "variability" or "dispersion." Common statistical measures of variability include range, variance, and standard deviation, which quantify how spread out the data points are from the mean. High variability indicates that the data points are widely spread, while low variability suggests that they are clustered closely around the mean.
mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
Categorical data varies when there are a variety of different categories.
When there are a variety of different numbers numerical data varies. -RJC
The characteristic of data that measures the amount that data values vary is called "variability" or "dispersion." Common statistical measures of variability include range, variance, and standard deviation, which quantify how spread out the data points are from the mean. High variability indicates that the data points are widely spread, while low variability suggests that they are clustered closely around the mean.
mean does not mean the center of the data
mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
no. Some mean is a number from the data but some mean is completely different from its data.
Its mean incomplete data or the data upon which we can not rely totally.
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
Heterogeneous means a diverse or varied mix of different elements or components. In the context of data or systems, it refers to a mix of different types of data or components that may vary in structure, format, or characteristics.
Variation in a data set refers to the degree to which the data points differ from each other and from the mean of the set. It is a measure of the spread or dispersion of the data. Common statistical measures of variation include range, variance, and standard deviation, which help to quantify how much the values in the dataset vary. A high variation indicates that the data points are widely spread out, while a low variation suggests they are closer to the mean.