... 1,2) and some way of measuring the size of the corresponding interval. A surface for which each location has a specified or derivable value. Continuous data can take on any value as it’s measured. Continuous data is data that can be measured as finely as is practical. A continuous random variable takes on all possible values within an interval on the real number line (such as all real numbers between –2 and 2, written as [–2, 2]). Discrete Data Discrete vs Continuous Probability Distributions in context of Data Science. Continuous data is measured. But you could use a decimal. 2. Rohan Paul. n = ((Za/2 * s)/D) ^2 Continuous data formula n = ((Za/2)/D) ^2 * p (1-p) discrete data formula. I understand that they are different types of information and that discrete is qualitative and continuous is quantitative but why does that mean that the sample size is different? Your weight can be any weight within the range of human weights. Follow. Discrete Continuous means its a range that includes integers and decimals, discrete is just a set of certain values. In an introductory stats class, one of the first things you’ll learn is the difference between discrete vs continuous variables. Again it’s not set to a specific fixed number. For discrete data, numbers between two data values will make no sense. Data such as elevation or temperature that varies without discrete steps. continuous data. So with temperature, we typically say, oh, it's 98 degrees out. Some examples are temperature, time, and weight. So to answer your question, it considered continuous in the sense of the first definition. This situation will give discrete data only since you cannot produce half of a car, three-fourths of a car or two and a half car. Why are there different formulas for discrete vs continuous data? Discrete vs Continuous variables: Definitions. spatially continuous data. For example, suppose that the cost of producing a car is 20000 dollars. The table below shows the costs of producing 1, 2, 3, or 4 cars. For example: Your weight. 1. In a nutshell, discrete variables are points plotted on a chart and a continuous variable can be plotted as a line. This tutorial covers continuous and discrete data. Time in a race. Your weight is not a specific fixed number. Typically represented by a tin or lattice (e.g., surface elevation). A race can be timed to a millisecond. It is discrete as if it was continuous it would mean you can have 2 2/5 children, which isn't possible. The difference between discrete and continuous variable can be drawn clearly on the following grounds: The statistical variable that assumes a finite set of data and a countable number of values, then it is called as a discrete variable.