A random variable such as the number of keys on each student's key chain is discrete because you can list the possible values it can assume. If it was continuous one would not be list a continuous random variable because it would be impossible. The keys on the key chains would be discrete.
The number of students is discrete. There is no number of students between 4 and 5.
Discrete random variable
Neither, since it is "qualitative data", not "quantitative". Only quantitative data can be discrete or continuous. (Unless your assigning a numerical "value" to each nationality type, in which case it would be quantitative discrete). Answer 2: If considering the percentage, eg 100% Irish, 50% Irish, etc., then it is theoretically a continuous variable, assuming an infinite number of generations. However, in terms of currently existing and past living people, for any nationality, it is a discrete variable.
discrete
Continuous
The random variable is discrete
The number of students is discrete. There is no number of students between 4 and 5.
Neither. It is a discrete variable.
Discrete random variable
Discrete.
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.
number of notes in a song is discrete variables or continuous variables
It is a discrete variable, as number of colds experienced by individuals would be one time, two times or so on. So, it is a finite category proving it a discrete variable.
Yes. You can't have a fraction of an employee. Thus, the range of values is not continuous, thus the variable is discrete.
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.
Discrete variables must be countable and not negative. So no a negative number must be a continuous variable.
I think you are going for continuous variable, as compared with discrete variables.