Its the set of values that the f(x) or y can reach. Domain is all the possible values on the x axis and range is all the possible values on the y axis.
A binary variable.
RangeThe term for the difference between the smallest and the largest values in a set of data is called the range. It is probably derived from the idea that the values of the numbers in the data could range anywhere from the lowest to the highest values but not beyond. The range is a measure of how disperse (spread out) the values are but it is not a very powerful measure.
There is an inverse relationship between the datasets.
someone answer this
Its the set of values that the f(x) or y can reach. Domain is all the possible values on the x axis and range is all the possible values on the y axis.
Not necessarily. You can have True, False and Indeterminate.
A set of possible data values is called Domain.
A binary variable.
the difference between the highest and the lowest values in a set of data
"data whose values are ordered so that we can make inferences regarding magnitude . But which have no fixed interval between values.
Dictionary coders (such as LZ77) store a segment of the message in a dictionary, and then replace each occurrence with the index into the dictionary. This works very well for repeated values, or messages that use a small portion of the possible values (such as 26 letters out of the 256 possible values in a byte). However, if the data does not repeat, or uses almost all of the possible values randomly, there will be the space used for the dictionary PLUS the space used for indexes of single occurrences. This can make the message longer. In general terms, if the message entropy is too high, any lossless compression scheme will fail to compress the data.
Span
the difference between the highest and the lowest values in a set of data
a population
RangeThe term for the difference between the smallest and the largest values in a set of data is called the range. It is probably derived from the idea that the values of the numbers in the data could range anywhere from the lowest to the highest values but not beyond. The range is a measure of how disperse (spread out) the values are but it is not a very powerful measure.
Possible reasons for differences between measured and theoretical values include experimental errors, uncertainties in measurements, limitations of the theoretical model used, incomplete data, and external factors affecting the system being studied. Additionally, human error, equipment malfunctions, and environmental conditions can also contribute to discrepancies between measured and theoretical values.