Discrete variable and continuous variable are two types of

A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. ... A discrete random variable X has a countable number of possible values. Example: Let X represent the sum of two dice.

By measuring the exact time it took for pops to slow down to the point of having two seconds in between each pop, my niece was able to collect several values of x, where x was the continuous variable that measured the time it took for a bag of popcorn to pop.

By measuring the exact time it took for pops to slow down to the point of having two seconds in between each pop, my niece was able to collect several values of x, where x was the continuous variable that measured the time it took for a bag of popcorn to pop.A continuous variable is a specific kind a quantitative variable used in statistics to describe data that is measurable in some way. If your data deals with measuring a height, weight, or time, then you have a continuous variable.

By measuring the exact time it took for pops to slow down to the point of having two seconds in between each pop, my niece was able to collect several values of x, where x was the continuous variable that measured the time it took for a bag of popcorn to pop.A continuous variable is a specific kind a quantitative variable used in statistics to describe data that is measurable in some way. If your data deals with measuring a height, weight, or time, then you have a continuous variable.Let's further define a couple of the terms used in our definition. A variable in statistics is not quite the same as a variable in algebra. In statistics, a variable is something that gives us data. Some examples of variables in statistics might include age, eye color, height, number of siblings, gender, or number of pets. Our definition of a continuous variable also mentions that it's quantitative. Quantitative data involves quantities or numbers. In the examples of variables listed earlier, your age, height, number of siblings, and number of pets are all quantitative variables.