Yes. ). From continuous to discrete. For example: A person’s age in years. Let’s say we are interested in babies’ ages. Quantitative Flavors: Continuous Data and Discrete Data. "Age" is continuous in its most general definition. But the properties “discrete” and “continuous” are not properties of the concept itself, “age,” they are properties of the methodology you are applying to the concept. In other words, … The difference between discrete and continuous data can be drawn clearly on the following grounds: Discrete data is the type of data that has clear spaces between values. Those quantitative variables are of two types: discrete variables and continuous variables. However, we may work with only the number of weeks since birth and thus transforming the age into a discrete variable. Try counting your age … The weight of pumpkins is considered to be a continuous variable. ... year that a worker has is an example of what type of data?a. Nominal b. Qualitative c. d. Continuous. What is a discrete variable? The data collected is the age of the babies, so a quantitative continuous variable. Continuous data is data that falls in a continuous sequence. a person has three children), while continuous data can be infinitely broken down into smaller parts. False. As a general rule, counts are discrete and measurements are continuous. I know that isn’t an answer you were considering. Typically it involves integers. If the charts or whatever require integers, or certain increments, then its discrete in that context. Discrete data is a count that can't be made more precise. Quantitative data has several advantages: It is relatively quick and easy to … Take a look at this article on orders of magnitude of time and you’ll see why time or age just isn’t countable. If the quantitative variable can take only an at most countable number of values, then such data is called discrete data. A baby’s age in months. There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. But that is no different than just "rounding down" from 3.9 years to 3 full years, not quite 4. Discrete.9. Continuous data can have almost any numeric value and can be meaningfully subdivided into finer and finer increments, depending upon the precision of the measurement system. Discrete data takes on fixed values (e.g. Quantitative data can be discrete or continuous. You could turn age into a discrete variable and then you could count it. Discrete data is countable while continuous data is measurable. The variable age is an example of qualitative variable. As opposed to discrete data like good or bad, off or on, etc., continuous data can be recorded at many different points (length, size, width, time, temperature, cost, etc. 6. Discrete data contains distinct or separate values. More precise considered to be a continuous sequence only the number of values then... 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