What is an example of quantitative continuous data?

What is an example of quantitative continuous data?

A continuous data set (the focus of our lesson) is a quantitative data set that can have values that are represented as values or fractions. Weight, height, temperature, etc. are examples of measurement that would make up a continuous data set. Always remember this: you can’t have half a basketball.

What are quantitative continuous variables?

Quantitative variables can be classified as discrete or continuous. Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time. For example, the length of a part or the date and time a payment is received.

What is continuous in quantitative research?

Continuous variables are variables that can take on any value within a range. Continuous variables are also considered metric or quantitative variables, where the variable can have an infinite number or value between two given points.

What is qualitative quantitative discrete and continuous?

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. Continuous Data are numbers that may take on all sorts of decimal or fractional values.

What are 5 examples of continuous data?

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.

Is BMI continuous or discrete?

Discrete quantitative variables can take on only a countable number of values, there are gaps between the possible choices. These are usually count variables of some kind. In our set above, blood pressure measurements and Body Mass Index (or BMI) would be clearly continuous.

Is gender continuous or discrete?

Variable Reference Table : Few Examples

Variable	Variable Type	Variable Scale
Temperature	Continuous	Interval
Length	Continuous	Ratio
Product ID in Numbers	Discrete	Nominal
Gender	Discrete	Categorical

What is meant by continuous data?

Continuous data are data which can take any values. Examples include time, height and weight. Because continuous data can take any value, there are an infinite number of possible outcomes. So continuous data must be grouped before they can be represented in a frequency table or statistical diagram.

What is continuous data with examples?

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.

What is continuous quantitative data in statistics?

Quantitative data may be either discrete or continuous. All data that are the result of counting are called quantitative discrete data. These data take on only certain numerical values. All data that are the result of measuring are quantitative continuous data assuming that we can measure accurately.

What is the difference between qualitative quantitative discrete and quantitative continuous?

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)

What is an example of a quantitative continuous variable?

Quantitative continuous variables are variables for which the values are not countable and have an infinite number of possibilities. For example: For simplicity, we usually referred to years, kilograms (or pounds) and centimeters (or feet and inches) for age, weight and height respectively.

What is the difference between continuous and discrete quantitative data?

Some analyses use continuous and discrete quantitative data at the same time. For instance, we could perform a regression analysis to see if the weight of Jujube boxes (continuous data) is correlated with the number of Jujubes inside (discrete data). When you classify or categorize something, you create Qualitative or attribute data.

What is continuous data used for in research?

Continuous data can be used in many different kinds of hypothesis tests. For example, to assess the accuracy of the weight printed on the Jujubes box, we could measure 30 boxes and perform a 1-sample t-test. Some analyses use continuous and discrete quantitative data at the same time.

What are the different types of quantitative data?

But this is just the highest level of data: there are also different types of quantitative and qualitative 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.