Discrete data are observations on a variable that which take values from a discrete set.
Any kind of graph can be used for discrete data.
time to learn a song for 4 hours, is this discrete or continuous data set?
Non-continuous data is called discrete data.
continuous because discrete data involve a count of items
yes
The weight of the motorcycles is discrete and not the continuous data.
Any kind of graph can be used for discrete data.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
The properties of a discrete space refer to the specific characteristics of the data within that space, such as the distinct values and intervals. These properties can impact data analysis by influencing the types of statistical methods that can be applied and the interpretation of results. For example, in a discrete space, certain statistical tests may need to be modified to account for the discrete nature of the data, and the presence of gaps between values can affect the accuracy of calculations. Understanding the properties of a discrete space is important for conducting meaningful and accurate data analysis.
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time to learn a song for 4 hours, is this discrete or continuous data set?
Yes, discrete countable data is used in statistical analysis.
Data that are countable values (does not need to be whole numbers). For example, 1/2, 1, 1 1/2, 2, 2 1/2, etc are discrete.
Yes, If you have a large data set, you can approximate the discrete data by Normal distribution (which is continuous). An example would be, "A coin is tossed 1000 times. What is the probability of rolling between 300 and 400 heads?" This problem, usually solved by Binomial distribution (which is a discrete distribution), is very difficult to solve because of the large data set and can be approximated by the Normal distribution.
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.
First let's look at what quantitative data is.Quantitative data are numeric.Discrete data are numeric data that have a finite number of possible values.So it is numerical data that can only have a finite number of possible values.One often used example of discrete quantitative data is the number 1,2 3, and 4 corresponding to strongly agree, agree, neutral, and don't agree,
Yeah, what about them