false
It can take only a finite number of values. These need not be integer values.
true.
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.
If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.
Distribution is the set of values that a variable can take, along with measures relating to the likelihood of the variable taking those values.
A discrete variable is one that cannot take on all values within the limits of the variable.
Discrete data are observations on a variable that which take values from a discrete set.
That would be a discrete variable; or, in your case, it would probably be called a discrete random variable.
and it cannot take on values in between its distinct values. Examples of discrete variables include the number of children in a family, the number of cars in a parking lot, and the number of heads obtained when flipping a coin.
Not continuous => Discrete variable. Continuous => Continuous variable.
Yes. You can't have a fraction of an employee. Thus, the range of values is not continuous, thus the variable is discrete.
It is a function that gives the probabilities associated with the discrete number of values that a random variable can take.
It can take only a finite number of values. These need not be integer values.
true.
A discrete variable.
A discrete random variable is a variable that can only take some selected values. The values that it can take may be infinite in number (eg the counting numbers), but unlike a continuous random variable, it cannot take any value in between valid results.
In basic algebra a discrete variable is one that can only take on specific set of values. For example, if we were to say that X can only take on a whole value between 1 and 10, then X would be a discrete variable. On the other hand, a continuous variable is one that can take on an unlimited number of values. For example, if we were to say X can take on ANY value between 1 and 10, then X is called a continious variable. The important thing to note is that the range of a variable (the min and max values it can take) is different than whether it is discrete or continuous. Discrete only implies a fixed (and known) set of values is possible for a variable