Answer:
Explanation:
A continuous random variable is a random variable where the data can take infinitely many values. Examples include height, weight, the amount of sugar in an orange, the time required to run a mile.
A discreet random variable has a countable number of possible values. The probability of each value of a discrete random variable is between 0 and 1, and the sum of all the probabilities is equal to 1. It is a countable number of distinct values such as 0,1,2,3,4,........ Discrete random variables are usually (but not necessarily) counts.
therefore from the option given
a. The time it takes for a light bulb to burn out.
Continuous random variable because it can take infinitely many values. the time cannot be counted
b. The height of a randomly selected giraffe.
Continuous random variable
c. The number of people with blood type Upper A in a random sample of 39 people.
A discreet random variable because the value of the people is given which means it can be counted
d. The number of fish caught during a fishing tournament.
A discreet random variable
e. The exact time it takes to evaluate 27 plus 72.
A discreet random variable