You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.
You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.
You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.
You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.
we compute it by using their differences
discrete
Discrete.
Discrete random variable
A continuous variable is one that can take infinite number of values in an interval. Examples are weight, height. A person's weight can be 150.2 lbs, 150.456 pounds and so on. Discrete variables, on the other hand can only assume a finite number of values. For example, number of people in a movie theatre.
The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.
the value of variables is determined by the equation, discrete variables have absolute single value while the continuos have a range value
number of notes in a song is discrete variables or continuous variables
Quiz and exam scores are discrete variables because they are defined as one exact number.
Discrete variables must be countable and not negative. So no a negative number must be a continuous variable.
we compute it by using their differences
discrete
I think you are going for continuous variable, as compared with discrete variables.
Not necessarily.
A discrete variable is a type of quantitative variable that can take on a finite or countable number of distinct values. Examples include the number of students in a classroom, the result of a dice roll, or the number of cars in a parking lot. Discrete variables contrast with continuous variables, which can take on any value within a given range. In statistical analysis, discrete variables are often represented by whole numbers.
In statistics, there are two main types of random variables: discrete random variables and continuous random variables. Discrete random variables take on a countable number of distinct values, such as the outcome of rolling a die. In contrast, continuous random variables can take on an infinite number of values within a given range, such as the height of individuals. Each type has its own probability distribution and methods of analysis.
No, the amount of rain in city B in April is not a discrete variable; it is a continuous variable. Continuous variables can take on any value within a given range, and rainfall can vary in infinitesimal amounts. In contrast, discrete variables represent countable quantities, such as the number of days it rained.