The main classification is discrete or continuous.
Discrete data are observations on a variable that which take values from a discrete set.
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
Any kind of graph can be used for discrete data.
The length of a movie is quantitative data.
Discrete and continuous.
The answer may be discrete data.
A moderately small number of discrete quantitative data.
discrete data can only be whole numbers whereas continuous can be fractions decimals don't necessary have to be counting numbers as we know them. 1,2,3...
Quantitative Data. It represents measurable quantities and is usually expressed in numbers. This type of data can be further categorized as continuous or discrete, depending on the scale of measurement.
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,
Neither, since it is "qualitative data", not "quantitative". Only quantitative data can be discrete or continuous. (Unless your assigning a numerical "value" to each nationality type, in which case it would be quantitative discrete). Answer 2: If considering the percentage, eg 100% Irish, 50% Irish, etc., then it is theoretically a continuous variable, assuming an infinite number of generations. However, in terms of currently existing and past living people, for any nationality, it is a discrete variable.
Yes, quantitative data is numerical in nature. It consists of measurable values that can be counted or expressed in numbers, allowing for statistical analysis and mathematical operations. This type of data can be further categorized into discrete (countable) and continuous (measurable) data. Examples include height, weight, and temperature.
Discrete data refers to quantitative information that can take on only specific, distinct values, often counted in whole numbers. Examples include the number of students in a classroom, the number of cars in a parking lot, or the number of pets in a household. This type of data cannot be subdivided into finer increments, meaning values between the discrete points do not exist. Discrete data is often represented using bar graphs or frequency distributions.
don't you mean quantitative data and qualitative data?
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
Data that includes only numbers is referred to as quantitative data. This type of data can be further classified into discrete data, which consists of countable values, and continuous data, which can take any value within a given range. Examples include measurements like height, weight, and temperature. Quantitative data is often used for statistical analysis and mathematical computations.