Q. How do you tell if a domain is discrete or continuous on a graph?
A discrete domain is a set of input values that consists of only certain numbers in an interval. A continuous domain is a set of input values that consists of all numbers in an interval. Sometimes the set of points that represent the solutions of an equation are distinct, and other times the points are connected.
Q. How do you know if it is continuous or discrete?
Discrete data is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.
Table of Contents
- Q. How do you tell if a domain is discrete or continuous on a graph?
- Q. How do you know if it is continuous or discrete?
- Q. What are the function to see the graph of a continuous and a discrete function?
- Q. Can a graph be neither discrete or continuous?
- Q. Are examples of a graph for discrete data?
- Q. What is a discrete bar graph?
- Q. Is death a continuous variable?
- Q. What is the difference between discrete and continuous examples?
- Q. What is an example of a continuous probability distribution?
Q. What are the function to see the graph of a continuous and a discrete function?
What are the functions to see the graph of a continuous and a discrete function? Explanation: The pre-defined function in MATLAB to view the graph of a continuous and discrete functions is plot() and stem() respectively.
Q. Can a graph be neither discrete or continuous?
Graphs of discrete relations appear as dots. A relation is said to be continuous if its graph is an unbroken curve with no “holes” or “gaps.” The graph of a continuous relation is represented by a line or a curve like the one below. Note that it is possible for a relation to be neither discrete nor continuous.
Q. Are examples of a graph for discrete data?
The following charts work especially well for representing the discrete data:
- Bar chart.
- Stacked bar chart.
- Column chart.
- Stacked column chart.
- Spider chart.
Q. What is a discrete bar graph?
Discrete data consists of whole numbers that are counted rather than measured. With this type of data, it’s better to use a chart that allows easy comparison of the values, such as a column chart, bar chart or pie chart.
Q. Is death a continuous variable?
For example, “male” or “female” are categorical discrete data values. Mortality (eg. 20 patients dead at 6 months) is an example of numerical discrete data values. Continuous data: when the variable is unrestricted and can have any value from a potentially infinite range, eg.
Q. What is the difference between discrete and continuous examples?
Discrete data is information that can only take certain values. Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data. Some continuous data will change over time; the weight of a baby in its first year or the temperature in a room throughout the day.
Q. What is an example of a continuous probability distribution?
Continuous probability distribution: A probability distribution in which the random variable X can take on any value (is continuous). Because there are infinite values that X could assume, the probability of X taking on any one specific value is zero. The normal distribution is one example of a continuous distribution.
