Significance of Quantitative Variable
Quantitative variables are characteristics that can be measured numerically, such as age, weight, and heart rate, and are analyzed statistically. These variables are often presented as mean ± standard deviation or median ± interquartile range. Statistical methods, including t-tests and ANOVA, are used to analyze these numerical data, which can be used to determine significance and relationships to study outcomes. They include elements like income, education level, and percentages, assessed to determine their relation to the outcomes of the study.
Synonyms: Numerical variable, Continuous variable, Quantitative measure
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Quantitative Variable'
In Hinduism, Quantitative Variable pertains to measurable aspects of a patient's condition. These are expressed numerically, and statistical methods are employed to summarize and analyze the collected data.
From: Journal of Ayurveda and Integrated Medical Sciences
(1) These are the aspects of the patient's condition that are measured numerically, and suitable statistical parameters were used to summarize this type of data.[1]
The concept of Quantitative Variable in scientific sources
A quantitative variable is a measurable, numerical factor suitable for statistical analysis. It is expressed as quantities like age, weight, or heart rate, and analyzed using descriptive statistics such as mean and standard deviation. This variable type is commonly used in evaluating classification models and studies.
From: The Malaysian Journal of Medical Sciences
(1) These are the measurable characteristics in the study, such as the percentage of lymphocyte subsets and their counts.[2] (2) This refers to the type of data analyzed using the t-test, and are measured numerically to determine significance.[3] (3) These are the measurable characteristics or features that were assessed in the study, using scales and measurements.[4] (4) Quantitative variables are characteristics that can be measured numerically, such as age, weight, and height.[5] (5) This is a variable measured numerically, and the resource equation approach is suitable for studies where the outcome is a quantitative variable, appropriate for analysis by ANOVA.[6]
From: International Journal of Pharmacology
(1) These were described as Mean±SD in the statistical analysis.[7] (2) New three level designs were developed for the study of quantitative variables.[8] (3) Quantitative variables such as age, weight, and heart rate were analyzed using Independent t-tests.[9] (4) Quantitative variables within the study were described using descriptive statistics such as the mean and standard deviation.[10] (5) Data that can be measured numerically, presented in the study as mean values with standard deviation (Mean±SD).[11]
From: Journal of Public Health in Africa
(1) These are variables that can be measured numerically, and their descriptive analysis includes position and dispersion parameters.[12] (2) Continuous variables expressed as median ± standard deviation, used in the statistical analysis of the study to measure and analyze numerical data, such as age.[13] (3) These are variables that can be measured numerically, and their mean and standard deviation were calculated in the study.[14] (4) These are variables that can be measured numerically, such as age or blood pressure, and were analyzed using mean and standard deviation.[15]
From: South African Journal of HIV Medicine
(1) These include orphan age, caregiver age and NVP plasma concentrations, means with standard deviations (s.d.) or medians with interquartile range (IQR) were analyzed.[16]
From: African Journal of Primary Health Care and Family Medicine
(1) Quantitative variables were presented as a mean and its standard deviation, whereas the categorical ones were described as a percentage in the statistical analysis.[17]
From: Asian Journal of Pharmaceutics
(1) These types of variables were expressed as a mean ± standard deviation in the study's results.[18]
From: International Journal of Pharmacology
(1) Data that can be measured numerically, presented as Mean ± Standard Deviation in the study.[19]
From: Sustainability Journal (MDPI)
(1) Variables of the data set including age, built area, plot area, and number of floors.[20]