Yes, discrete data is measured in fixed amounts and consists of distinct, separate values. It represents countable quantities, such as the number of students in a classroom or the number of cars in a parking lot. Unlike continuous data, which can take on any value within a range, discrete data can only take specific, individual values.
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.
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.
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.
Discrete data are observations on a variable that which take values from a discrete set.
The amount of rain in City B during April is considered continuous. This is because rainfall can be measured in infinitely small increments, and it can take on any value within a range, such as milliliters or inches. Discrete data, on the other hand, consists of distinct, separate values, which does not apply to measurements of rainfall.
Discrete data refers to data that can only take on specific values and cannot be measured along a continuous scale. Examples include the number of pets owned by a family or the outcome of rolling a dice. Discrete data is distinct and separate, rather than being part of a continuous range.
The weight of the motorcycles is discrete and not the continuous data.
Yes, data can be classified as non-discrete and non-continuous, typically falling into a category known as categorical or qualitative data. This type of data represents characteristics or qualities that do not have a numerical value and cannot be ordered in a meaningful way, such as colors, names, or labels. Examples include nominal data, like types of fruit, which cannot be measured on a scale or counted in a traditional sense.
Any kind of graph can be used for discrete data.
Quantitative data that can be measured exactly is referred to as "discrete data." This type of data consists of distinct or separate values, often represented by whole numbers, such as the number of students in a classroom or the number of cars in a parking lot. In contrast, continuous data can take any value within a given range and can be measured with greater precision, such as height or weight.
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.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.