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Quantitative Data Examples. Listed below are some examples of quantitative data that can help understand exactly what this pertains: I updated my phone 6 times in a quarter. My teenager grew by 3 inches last year. 83 people downloaded the latest mobile application. My aunt lost 18 pounds last year.
We’ll explain exactly what quantitative data is, including plenty of useful examples. We’ll also show you what methods you can use to collect and analyze quantitative data. By the end of this post, you’ll have a clear understanding of quantitative data and how it’s used.
Quantitative data refers to numerical data that can be measured or counted. This type of data is often used in scientific research and is typically collected through methods such as surveys, experiments, and statistical analysis.
The key types of quantitative data are: Interval data; Ratio data; Discrete data; Continuous data; Ordinal data; Time series data; Cross-sectional data; Examples of each will be presented below. Quantitative Data Examples 1. Interval Data. Interval data refers to quantitative data where the distance between each value on the measure is equally ...
Here are some examples of qualitative data: Interview transcripts: Verbatim records of what participants said during an interview or focus group. They allow researchers to identify common themes and patterns, and draw conclusions based on the data.
Quantitative Data Examples. Quantitative data is anything that you can count and categorize according to its numerical expression. These examples demonstrate the breadth of quantitative data, which ranges from simple counts and measurements to more complicated experimental and survey-related data.
Here we'll define quantitative data, its types, share quantitative data examples, and outline the differences between qualitative and quantitative data.