Examples of 'numerical variables' in a sentence
Meaning of "numerical variables"
Numerical variables are types of data that represent numbers or quantities. They can include values such as age, height, weight, temperature, or any other numeric information. These variables are used in many fields of study, such as statistics, economics, and scientific research, to analyze and understand numeric data
How to use "numerical variables" in a sentence
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numerical variables
While histograms are used for numerical variables.
Numerical variables were described as mean and standard deviation.
We will be working with two numerical variables.
Numerical variables are expressed as mean and standard deviation.
We applied central tendency and dispersion in the analysis of numerical variables.
The numerical variables were described as average and standard deviation.
Frequency and percentages were used for categorical variables and for ordinal numerical variables.
The numerical variables were summarized as means and standard deviation.
A descriptive analysis was used with presentation of position and dispersion measurements for numerical variables.
Numerical variables are represented in terms of central tendency and dispersion.
ANOVA was performed to compare numerical variables repeated over time.
Numerical variables were presented as measures of central tendency and dispersion.
Homogeneity of variances of numerical variables was observed using the Bartlett test.
Numerical variables were represented by central tendency and dispersion measures.
The correlation coefficient of Spearman was used to analyze the numerical variables.
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Numerical variables were described through measures of central tendency and dispersion.
The Lavene test was employed to verify the behavior of numerical variables.
Numerical variables are used.
The Spearman correlation coefficient was also calculated for the numerical variables.
Subscripts x and y denote numerical variables in a chemical formula in this application.
Unpaired t-tests were used to analyze numerical variables.
Discreet numerical variables are those that take on one of a specific set of.
Now, let us focus on the numerical variables.
The numerical variables are presented as mean and standard deviation when noted.
Student 's t test was used for the analysis of numerical variables.
The numerical variables are represented by the central tendencies and dispersion measures.
Pearson 's coefficient was calculated to measure correlation between numerical variables.
The numerical variables of demographical data are presented as means with standard deviation.
Pearson 's correlations were used to explore associations between numerical variables.
Numerical variables were expressed as means and standard deviations or as medians and interquartile ranges.
These systems have Boolean and numerical variables and exhibit discrete and continuous behavior.
Numerical variables were presented as mean and standard deviation or median and interquartile variation.
Pearson 's correlation was utilized to analyze correlations between two numerical variables.
Numerical variables were presented with median and variation values with minimum and maximum scores.
The values represent mean? standard deviation for numerical variables.
Correlations between numerical variables were investigated using the Spearman correlation coefficient.
Table 2 shows the measures of position and dispersion of numerical variables.
Numerical variables were compared by use of the Student t test for independent samples.
We used the Kolmogorov-Smirnov test to assess normality of the numerical variables.
Numerical variables were presented as mean ± standard deviation.
The Kolmogorov-Smirnov test was used to determine the normality of the numerical variables.
Numerical variables are presented as mean ± standard deviation.
The Kolmogorov-Smirnov test was used to verify the normality of the numerical variables.
Numerical variables were analyzed using the Kolmogorov-Smirnov normality test.
Pearson 's correlation test analyzes the correlation between the two numerical variables.
The measurements of the numerical variables were expressed as means ± standard deviations.
Spearman 's correlation coefficient was calculated for measuring the correlation between the numerical variables.
The distribution of numerical variables was investigated by histograms and normality Shapiro-Wilk tests.
Importantly, there was no difference in the basal numerical variables between the two groups.
To compare numerical variables between groups at baseline, the Kruskal-Wallis test was used.
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The plan of the variables is the following
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Stations are listed in numerical then alphabetical order
A numerical index of the contrast degree is displayed
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