Continuous variations have a wide range of possibilities. For example, your height is a continuous variation. There are many options (for example you could be 5'9, 4'6, 6'1) rather than an either/or situation. Discrete variations have only two possibilities. They can be thought of as "either/or" situations. For example, you can either roll your tongue or you can't. There is no grey area or in-between.
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.
A continuous variable is one that can take any value within an interval (or a set of intervals). A discrete variable is one that can only take certain values.Some further notes:* Often a discrete variable takes integer values, but that is not necessary.* Neither discrete nor continuous variables need be limited to a finite number of possible values.* Frequently, continuous variables are continuous only in principle, and the measuring instruments or recording make them discrete. Eg your height is continuous but as soon as it is recorded as 1.75 cm or 5'9", it is made discrete.
A discrete random variable (RV) can only take a selected number of values whereas a continuous rv can take infinitely many.
Discrete and Continuous GraphThis will be a very basic definition but understandable one A graph is discrete when one (or both) of the variables has discrete entries, its means that are entered number, without decimal part, so the graph has no continuity, the trace will be broken parts, not a single one.beside a continuous graph is a graph where both variables are continuous, it means that their field's are de Real number, so the trace it's a continuous line.Also we can differentiated because the range are points (in a discrete one) and all the numbers (in a continuous one).
Continuous variable is one like temperature, and discrete variable are ones like male and female. So if you are looking at temperatures between 90 and 100 degrees, there is an infinite number of them. Say between 99 and 99.1, we have 99.05 and between that and 99 we have 99.005 etc. The variable is continuous because it can take on any value between 90 and 100. But if you are talking about gender, than it is either male of female and not continuous. Having said all this, now we define a continuous variable A continuous is one for which, within the limits the variable ranges, any value is possible. So what about time? If the variable is how long it take to read this answer, is that discrete? NO, it is continuous. A five point scale is an example of a discrete variable.
Variation can be categorized as either continuous or discrete. Continuous variation refers to a range of values that can take any value within a specific range, while discrete variation refers to distinct categories with no values in between.
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.
The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.
Genetic and environmental variations are the two main types of variations. Genetic variation refers to differences in DNA sequences between individuals, while environmental variation is caused by differences in the environment in which individuals live and develop. These variations can influence traits and characteristics in organisms.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
The number of students is discrete. There is no number of students between 4 and 5.
A continuous variable is one that can take any value within an interval (or a set of intervals). A discrete variable is one that can only take certain values.Some further notes:* Often a discrete variable takes integer values, but that is not necessary.* Neither discrete nor continuous variables need be limited to a finite number of possible values.* Frequently, continuous variables are continuous only in principle, and the measuring instruments or recording make them discrete. Eg your height is continuous but as soon as it is recorded as 1.75 cm or 5'9", it is made discrete.
A discrete random variable (RV) can only take a selected number of values whereas a continuous rv can take infinitely many.
Discrete and Continuous GraphThis will be a very basic definition but understandable one A graph is discrete when one (or both) of the variables has discrete entries, its means that are entered number, without decimal part, so the graph has no continuity, the trace will be broken parts, not a single one.beside a continuous graph is a graph where both variables are continuous, it means that their field's are de Real number, so the trace it's a continuous line.Also we can differentiated because the range are points (in a discrete one) and all the numbers (in a continuous one).
A discrete distribution is one in which the random variable can take only a limited number of values. A cumulative distribution, which can be discrete of continuous, is the sum (if discrete) or integral (if continuous) of the probabilities of all events for which the random variable is less than or equal to the given value.
"Continuous" means there's no smallest piece. If you pick two amounts, then no matter how close together they are, there's always an amount between them. Amounts of time, water, and temperature are continuous. "Discrete" means there is a smallest piece. If you pick two amounts and they're close enough together, there's no amount between them. Amounts of beans, cars, and chickens are discrete.
I think you are going for continuous variable, as compared with discrete variables.