They are continuous.
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.
Some manufacturing is discrete, some continuous.
Exponential functions are typically considered continuous because they are defined for all real numbers and have a smooth curve. However, they can also be represented in a discrete form when evaluated at specific intervals or points, such as in the context of discrete-time models. In such cases, the function takes on values at discrete points rather than over a continuous range. Thus, while exponential functions are inherently continuous, they can be adapted to discrete scenarios.
continuous discrete
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
discrete data can only be whole numbers whereas continuous can be fractions decimals don't necessary have to be counting numbers as we know them. 1,2,3...
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.
The question, as stated, does not make sense. Numbers are not continuous - they are discrete.
Some manufacturing is discrete, some continuous.
ocean depth is a continuous or discrete variable?
Discrete variables must be countable and not negative. So no a negative number must be a continuous variable.
Exponential functions are typically considered continuous because they are defined for all real numbers and have a smooth curve. However, they can also be represented in a discrete form when evaluated at specific intervals or points, such as in the context of discrete-time models. In such cases, the function takes on values at discrete points rather than over a continuous range. Thus, while exponential functions are inherently continuous, they can be adapted to discrete scenarios.
continuous discrete
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
It sounds like the issue here is whether the data is continuous or discrete. If that is the case then the recording period is not of concern. If you are watching a Petri dish and counting the number of colonies on the dish each day then your data would be discrete. If one the other hand you are watching one colony on a Petri dish and measuring its largest dimension each day in centimetres and fractions of centimetres then your data would be continuous. Discrete data is essentially data that comes from the set of integers. Theoretically continuous data comes from the set of real numbers; in practice it comes from the set of rational numbers.
Continuous.
Continuous