Can Data Be Both Discrete and Continuous?
Discrete Data Take Particular Values, While Continuous Data Are Not Restricted to Separate Values. Discrete Data Are Distinct and There Is No Grey Area in...
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Considering this, can data be discrete and continuous?
Key Differences Between Discrete and Continuous Data Discrete data is the type of data that has clear spaces between values. Discrete data is countable while continuous data is measurable. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range.
Also, what is discrete and continuous data examples? Discrete data have finite values, or buckets. You can count them. Continuous data technically have an infinite number of steps, which form a continuum. The number of questions correct would be discrete--there are a finite and countable number of questions. Here are some examples of discrete and continuous data.
Simply so, can a random variable be both discrete and continuous?
A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values. A continuous random variable X takes all values in a given interval of numbers.
What are some examples of discrete data?
Discrete data is information that we collect that can be counted and that only has a certain number of values. Examples of discrete data include the number of people in a class, test questions answered correctly, and home runs hit. Tables and graphs are two ways to show the discrete data that you collect.
