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Quantitative data is any kind of data that can be measured numerically. For example, quantitative data is used to measure things precisely, such as the temperature, the amount of people in a crowd or the height of a structure. Although quantitative data usually involves numbers and equations, some data records actions, such as the frequency of human behavior.

Know MoreQuantitative research methods are most often used science, psychology and economics. Although quantitative data involves exact measurements, the data is still subject to variables. For example, a researcher gathering quantitative data on the financial earnings of a group of people may not have access to all financial documents, or some earnings may not be reported. However, quantitative data relies less on interpretation, so it is generally considered to be very accurate.

Quantitative data is often analyzed using statistics to record the frequency of occurrences. This kind of data rarely results in a new theory. Instead, most quantitative data builds on existing academic theories.

Quantitative data is often contrasted to qualitative data. Qualitative data is commonly used in the social sciences to record and analyze observations that cannot be measured or quantified, such as the behavior of people. However, qualitative and quantitative data can both be used to investigate the same research question and reach the same conclusion.

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## What are some advantages and disadvantages of quantitative methods?

A:Quantitative methods are advantageous because they allow researchers to conduct a broad survey, which involves many subjects and generalization of findings. They also yield accurate results. On the other hand, quantitative methods are rigid and provide less detail on the motivation, attitudes and behavior of study subjects.

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## What is a disadvantage of using range as a measure of dispersion?

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Full Answer >**One of the greatest disadvantages of using range as a method of dispersion is that range is sensitive to outliers in the data.**Range only considers the smallest and largest data elements in the set.Filed Under: - Q:
## What is the difference between grouped and ungrouped data?

A:Grouped data is data that has been organized into classes. Grouped data has been classified and some data analysis has been done, which means this data is no longer raw. Un-grouped data has not been organized into groups. It is just a list of numbers.Full Answer >Filed Under: - Q:
## What are some examples of descriptive statistics?

A:Descriptive statistics are statistics that describe the central tendency of the data, such as mean, median and mode averages. Variance in data, also known as a dispersion of the set of values, is another example of a descriptive statistics. Greater variance occurs when scores are more spread out from the mean. Descriptive statistics summarize data.

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