Respuesta :
Answer:
A) discrete random variable.
Explanation:
Discrete random variables can assume only a finite number of values, and their combined total probabilities must equal 1.
On the other hand, continuous random variables can take any value with an interval or collection of intervals, which means that the possible values are infinite.
A complex random variable is a combination of two real random variables that have rel and imaginary parts.
The random variable in this experiment which is the number of sales made is an example of a discrete random variable.
What is a Discrete random variables?
A discrete random variables refers to variables that has either finite or a countable number of possible values.
Generally, a random variable is called continuous if its possible values contain a whole interval of numbers.
In conclusion, the discrete random variables can assume only a finite number of values and their combined total probabilities must equal 1.
Read more about discrete random variables
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