Are all qualitative variables discrete?

A quantitative variable can be either continuous or discrete.

Are quantitative variables discrete or continuous?

Quantitative variables may be discrete or continuous. Discrete variables can only take on a limited number of values (e.g., only whole numbers) while continuous variables can take on any value and any value between two values (e.g., out to an infinite number of decimal places).

Are all qualitative variables discrete?

Variables that can only take on a finite number of values are called "discrete variables." All qualitative variables are discrete. Some quantitative variables are discrete, such as performance rated as 1,2,3,4, or 5, or temperature rounded to the nearest degree.

Which variables are always discrete?

Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric. For example, the number of customer complaints or the number of flaws or defects.

Can qualitative variables be discrete or continuous?

Qualitative data contains categorical variables and quantitative data contains numerical variables. Categorical variables come in nominal or ordinal flavours, whereas numerical variables can be discrete or continuous.

Can qualitative be discrete?

Qualitative vs Quantitative

Data can be qualitative or quantitative. Quantitative data can be Discrete or Continuous: Discrete data can only take certain values (like whole numbers) Continuous data can take any value (within a range)

Are all discrete and continuous variables quantitative in nature?

Continuous variables are different from categorical, or discrete, variables. Continuous variables are quantitative in nature, but not all quantitative variables are continuous. For example, if a parent has two children, it is not logically possible for a third child to be “in between” the first two.

What is a discrete quantitative variable?

A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation.

What are quantitative variables?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

What is continuous quantitative variable?

Continuous. On the other hand, quantitative continuous variables are variables for which the values are not countable and have an infinite number of possibilities. For example: Age. Weight.

What variables are continuous?

Continuous variables

A variable is said to be continuous if it can assume an infinite number of real values within a given interval. For instance, consider the height of a student. The height can't take any values. It can't be negative and it can't be higher than three metres.

Is the data discrete or continuous?

Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a constant sequence. Discrete data is countable while continuous — measurable. To accurately represent discrete data, the bar graph is used.

What are quantitative and qualitative variables?

Quantitative Variables - Variables whose values result from counting or measuring something. Examples: height, weight, time in the 100 yard dash, number of items sold to a shopper. Qualitative Variables - Variables that are not measurement variables. Their values do not result from measuring or counting.

Can a categorical variable be discrete?

Categorical variables are also known as discrete or qualitative variables. Categorical variables can be further categorized as either nominal, ordinal or dichotomous. Nominal variables are variables that have two or more categories, but which do not have an intrinsic order.

What is difference between discrete and continuous variable?

Discrete and continuous variables are two types of quantitative variables: Discrete variables represent counts (e.g. the number of objects in a collection). Continuous variables represent measurable amounts (e.g. water volume or weight).

Is an ordinal variable discrete?

Discrete Variables. A key distinction between ordinal categorical variables and discrete quantitative variables is that there is a uniform degree of difference within discrete quantitative variables. The difference between one and two kittens is the same as the difference between five and six kittens.

What is discrete data?

Discrete data is information that can only take certain values. These values don't have to be whole numbers (a child might have a shoe size of 3.5 or a company may make a profit of £3456.25 for example) but they are fixed values – a child cannot have a shoe size of 3.72!

Is age discrete or continuous?

Is Age Discrete or Continuous? Technically speaking, age is a continuous variable because it can take on any value with any number of decimal places.

Which is an example of discrete data?

When values in a data set are countable and can only take certain values, it is called discrete data. For example, number of students in a class, number of players required in a team, etc. We can easily count the variables in a discrete data.

What is non discrete data?

What is non-discrete data archiving? Non-discrete data includes file types such as PDFs and images. The data inside these documents can't be extracted or pulled into reports. If you want to access a specific piece of data, you need to review the entire document.

Which one of the following is not a discrete random variable?

Blood type is not a discrete random variable because it is categorical. Continuous random variables have numeric values that can be any number in an interval. For example, the (exact) weight of a person is a continuous random variable.

Is time continuous or discrete?

Time is a continuous variable. You could turn age into a discrete variable and then you could count it. For example: A person's age in years.

Is discrete data quantitative or qualitative?

Quantitative Flavors: Continuous Data and Discrete Data

There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Discrete data is a count that can't be made more precise.

What kind of data is quantitative data?

Quantitative data are used when a researcher is trying to quantify a problem, or address the "what" or "how many" aspects of a research question. It is data that can either be counted or compared on a numeric scale.

What is discrete qualitative data?

Qualitative Data are not numbers. They may include favorite foods; religions; ethnicities; etc.. Discrete Data are numbers that may take on specific, separated values. For example, when you roll one die, you get 1, 2, 3, 4, 5, or 6. You cannot obtain a value of 3.75.