Answer:
a. The number of light bulbs that burn out in the next year in a room with 19 bulbs: is a discrete random variable.
b. The usual mode of transportation of people in City Upper A: is not a random variable because its outcome isn't numerical.
c. The number of statistics students now doing their homework: is a discrete random variable.
d. The number of home runs in a baseball game: is a discrete random variable.
e. The exact time it takes to evaluate 67 plus 29: is a continuous random variable.
f. The height of a randomly selected person: is a continuous random variable.
Step-by-step explanation:
A random variable often used in statistics and probability, is a variable that has its possible values as numerical outcomes of a random experiment or phenomenon. It is usually denoted by a capital letter, such as X.
In statistics and probability, random variables are either continuous or discrete.
1. A continuous random variable is a variable that has its possible values as an infinite value, meaning it cannot be counted.
Example are the height of a randomly selected person, time it take to move from Texas to New York city, etc.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Examples are the number of light bulbs that burn out in the next year in a room with 19 bulbs, the number of chicken in a district etc.
