Examples of 'quantitative variables' in a sentence

Meaning of "quantitative variables"

Quantitative variables are measurable characteristics or properties that can be expressed in numerical form. They involve quantitative data and are often used in statistical analysis to determine relationships and patterns between variables

How to use "quantitative variables" in a sentence

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quantitative variables
Quantitative variables were expressed by frequencies and percentiles.
Summary measures for quantitative variables were calculated.
Quantitative variables were based on frequency and percentage.
Compare multiple quantitative variables in one chart.
The questionnaire includes a number of quantitative variables.
The analysis of quantitative variables was performed by means of.
Pearson correlation was calculated between quantitative variables.
Link between quantitative variables and categories.
Discrete variables are indeed a category of quantitative variables.
Many other quantitative variables could be used to.
There were no associations with quantitative variables.
Quantitative variables were expressed as central tendency and variability.
How many dogs are quantitative variables.
Quantitative variables were evaluated by mean and standard deviation.
It is useful for presenting three or more quantitative variables.

See also

Quantitative variables are presented as means and standard deviations.
The data is a set of values of qualitative or quantitative variables.
Quantitative variables were presented as averages and standard deviation.
The algorithm is designed to work with quantitative variables.
Quantitative variables are described as means and standard deviations.
Captures most of the information in those quantitative variables.
Quantitative variables were presented by absolute and relative frequencies.
Statistical analysis involved the evaluation of normality of quantitative variables.
Quantitative variables had excellent reproducibility among examiners.
Pasture samples were collected to determination of qualitative and quantitative variables.
Quantitative variables are numerical and can be ordered or ranked.
Mean and standard deviation were calculated for quantitative variables.
The quantitative variables were described by mean and standard deviation.
These factors are represented as supplementary quantitative variables correlation circle.
Quantitative variables are described using means and standard deviations.
Interval and ratio variables are what we call quantitative variables.
Continuous quantitative variables were expressed as mean and standard deviation.
This type of regression is indicated to estimate associations between quantitative variables.
Quantitative variables were expressed by frequencies in absolute and relative figures.
Analysis of quantitative variables.
Quantitative variables for means and standard deviations were used.
For descriptive analysis of quantitative variables mean and standard deviation were used.
Quantitative variables were described by using central tendency and dispersion measurements.
We conducted the analysis of quantitative variables by comparing the means and medians.
Quantitative variables were described as a function of the central tendency and dispersion.
Six individuals are described by three quantitative variables and three qualitatives variables.
The quantitative variables were analyzed as mean and standard deviation.
Values were expressed as means and their standard deviations for quantitative variables.
All quantitative variables investigated exhibited a typical normal distribution.
Other plots are used for one categorical and one quantitative variables.
Quantitative variables are presented in tables with means and standard deviations.
It was shown that there is an association between qualitative and quantitative variables and.
Quantitative variables were expressed according to measures of central tendency and dispersion.
The frequencies were expressed in percentage and quantitative variables as medians and percentiles.
The quantitative variables were characterized by values of mean and standard deviation.

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