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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 is a math trend?

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Full Answer >**A trend in mathematics is a pattern in a set of data points.**Knowing the trend allows outcomes to be predicted by a mathematical model. Estimating the trend of data requires a technique known as regression or curve fitting.Filed Under: - Q:
## What is variance in statistics?

A:Variance measures how the data in a given variable distribution are spread relative to the mean. Operationally, it is the average squared distance from the mean and is calculated by the square root of the standard deviation. Conceptually, it indicates how much variation is within a given sample.

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## How do you perform a univariate analysis of variance?

A:The univariate approach to the analysis of variance typically starts with the arrangement of data in a table where the columns represent the different treatments and the rows represent the subjects. The analysis of variance using this approach is based on the assumption that the data in any particular group has the same mean. Another assumption is that data from the different groups have a similar variance.

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## What the difference between statistics as numerical fact and statistics as a discipline?

A:Statistics as a numerical fact is a piece of numerical information, also known as data, used to describe an event, occurrence or phenomena. Statistics as a discipline uses statistics or numerical pieces of information to solve problems in the everyday world and in academics. Those who work with statistics as a discipline are called statisticians.

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