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Yes, tree height is considered continuous data because it can take on any value within a range and is not restricted to distinct categories. It can be measured at various levels of precision, allowing for fractional values, such as centimeters or inches. This characteristic distinguishes it from discrete data, which consists of countable, separate values.
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What is the definition of continuous data?
where data is constantly changing eg. someones height.
Examples of continuous data?
height, wieght, temperature, distance etc.
Is a piechart used for continuous data?
It can be. For example, height is a continuous variable. If you wanted to show what proportion of the children in your school were in various bands of height, you could use a pie chart.
What is a 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.
Are the data discrete or continuous?
Data is classified as discrete if it consists of distinct, separate values, often counted in whole numbers, such as the number of students in a classroom. Continuous data, on the other hand, can take on any value within a given range and is often measured, such as height or weight. The choice between discrete and continuous depends on the nature of the data being analyzed.
What is the definition of continuous data?
where data is constantly changing eg. someones height.
Examples of continuous data?
height, wieght, temperature, distance etc.
What is the height of a specific node in a tree data structure?
The height of a specific node in a tree data structure is the number of edges on the longest path from that node to a leaf node.
Is a piechart used for continuous data?
It can be. For example, height is a continuous variable. If you wanted to show what proportion of the children in your school were in various bands of height, you could use a pie chart.
What is a 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.
Are the data discrete or continuous?
Data is classified as discrete if it consists of distinct, separate values, often counted in whole numbers, such as the number of students in a classroom. Continuous data, on the other hand, can take on any value within a given range and is often measured, such as height or weight. The choice between discrete and continuous depends on the nature of the data being analyzed.
Is number discrete or continuous data?
Numbers can represent both discrete and continuous data, depending on the context. Discrete data consists of distinct, separate values, often counted in whole numbers, such as the number of students in a classroom. In contrast, continuous data can take any value within a range and can include fractions or decimals, such as height or temperature. Thus, whether numbers are discrete or continuous depends on how they are measured and used.
Can categorical data be continuous?
No, categorical data cannot be continuous. Categorical data consists of distinct categories or groups, such as colors, brands, or yes/no responses, where values represent different classifications rather than quantities. Continuous data, on the other hand, can take any value within a range and is measured on a scale, such as height or temperature. Thus, the two types of data are fundamentally different in nature.
What is non-continuous data?
Non-continuous data is called discrete data.
Non continuous data?
Non-continuous data is called discrete data.
What is Continuous data in statistics?
It means numerical data which can hold any value . For instance, human height is continuous. There is no set of allowable heights. It can be any number. In contrast, human sex (i.e male or female) is categorical data, because there are only two possible values.
What is data analog?
analog data are continuous and take continuous values
