A discrete variable.
Discrete variables have numbers that can be counted. Continuous data is measurable. Discrete data are data which can only take on a finite or countable number of values within a given range. Continuous data are data which can take on any value. It is measured rather than counted. The mass of a given sample of iron is continuous; the number of marbles in a bag is discrete.
It is data that can be used in a chart. It can be values that are in cells in a worksheet.
a piece of data that keeps changing like someones height or shoe size. * * * * * NO. Continuous data are those that can take all possible values within some given range (which may be infinite), or set of ranges. Discrete data, on the other hand, can only take values from a set (again, possibly infinite). These are usually integer values, but not necessarily so. Height is a continuous variable, but shoe size is a discrete variable.
Data that are countable values (does not need to be whole numbers). For example, 1/2, 1, 1 1/2, 2, 2 1/2, etc are discrete.
Discrete data are observations on a variable that which take values from a discrete set.
discrete data
A discrete variable.
Discrete variables have numbers that can be counted. Continuous data is measurable. Discrete data are data which can only take on a finite or countable number of values within a given range. Continuous data are data which can take on any value. It is measured rather than counted. The mass of a given sample of iron is continuous; the number of marbles in a bag is discrete.
The properties of a discrete space refer to the specific characteristics of the data within that space, such as the distinct values and intervals. These properties can impact data analysis by influencing the types of statistical methods that can be applied and the interpretation of results. For example, in a discrete space, certain statistical tests may need to be modified to account for the discrete nature of the data, and the presence of gaps between values can affect the accuracy of calculations. Understanding the properties of a discrete space is important for conducting meaningful and accurate data analysis.
Of course, you should have tested: float x= -1.0;
It is data that can be used in a chart. It can be values that are in cells in a worksheet.
The weight of the motorcycles is discrete and not the continuous data.
a piece of data that keeps changing like someones height or shoe size. * * * * * NO. Continuous data are those that can take all possible values within some given range (which may be infinite), or set of ranges. Discrete data, on the other hand, can only take values from a set (again, possibly infinite). These are usually integer values, but not necessarily so. Height is a continuous variable, but shoe size is a discrete variable.
The number of cows in a pasture is a discrete quantity because it can only take on whole number values (e.g., 0, 1, 2, 3, etc.). You can't have a fraction of a cow in this context. Discrete data is characterized by distinct, separate values, while continuous data involves measurements that can take on any value within a range.
Data that are countable values (does not need to be whole numbers). For example, 1/2, 1, 1 1/2, 2, 2 1/2, etc are discrete.
Discrete - Each recorded data has a particular whole value e.g. Number of pencils in pencil cases, Number of correct answers in a test Continuous - The recorded data can have any value in a given range e.g. Height of students, Time taken to run 100m