Distinguish clearly between a continuous variable and a discrete variable. Give two examples of continuous variables and two examples of discrete variables that might be used by a healthcare manager
Answers
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.
Explanation:
Variable refers to the quantity that changes its value, which can be measured. It is of two types, i.e. discrete or continuous variable. The former refers to the one that has a certain number of values, while the latter implies the one that can take any value between a given range.
Data can be understood as the quantitative information about a specific characteristic. The characteristic can be qualitative or quantitative, but for the purpose of statistical analysis, the qualitative characteristic is transformed into quantitative one, by providing numerical data of that characteristic. So, the quantitative characteristic is known as a variable. Here in this article, we are going to talk about the discrete and continuous variable.