- BMI (Body Mass Index) is a measure of how much weight a person has (or BMI) BMI is a measurement in this scenario, and as such would be considered quantitative.
- When BMI is given as a categorical variable, it is grouped into categories such as underweight, normal, overweight, and obese, in which case it is classified as a categorical variable.
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Blood pressure readings and Body Mass Index (or BMI) measures would be clearly continuous in our example above. These are accurate measurements, with the only limitation being our desire or capacity to measure with more precision.
Is BMI categorical data?
Providing information on an individual’s Body Mass Index by noting whether the individual is underweight, normal weight, overweight, or obese is an example of this type of information. This classified BMI is an example of an ordinal categorical variable, which may be found in many situations.
Is BMI categorical or quantitative?
Age, BMI, creatinine, and the amount of time between birth and death are examples of quantitative features. Gender, ethnicity, genotype, and vital status are all examples of qualitative features that can be seen. Alternatively, categorical variables can be used to describe qualitative factors.
Is BMI ordinal or interval?
BMI (body mass index, often known as BMI), for example, is commonly assessed at an interval level such as 23.4.
Is mass continuous or categorical?
Because mass may take on any value between its minimum and maximum values, it is considered a continuous variable. Due to the fact that there is no definitive answer to the question: What is the next figure of mass after, for example, 63.207 Kg?, mass cannot be considered discrete.
Is weight a continuous variable?
It follows that weight is a continuous variable since it can be quantified to a decimal accuracy; for example, 10.2 kg and 3.0122 kg are both 10.2 kg.
Is weight discrete or continuous?
Continuous data is data that has the potential to take on any value. Continuous data includes such things as height, weight, temperature, and length, among other things.
Is BMI nominal?
BMI (body mass index) is a measure of body fat that is frequently assessed at the interval level and assigned a score such as 23.4. This interval-level BMI data can be compressed into ordinal categories, such as obese, overweight, and underweight, or it can be reduced to nominal-level categories, such as overweight and not overweight, depending on the needs of the researcher.
What type of measure is BMI?
The body mass index (BMI) is a measurement that takes into account your height and weight to determine whether or not your weight is considered healthy. The BMI of an adult is calculated by dividing the adult’s weight in kilograms by the adult’s height in square metres. For example, a BMI of 25 indicates that the person weighs 25kg/m2.
Can weight be a categorical variable?
- Categorical variables, often known as discrete variables, are variables that have a specific value.
- These are only available in a limited number of values, such as dead/alive, obese/overweight/normal/underweight, and Apgar score, among others.
- Variables that are continuous in nature.
- Birth weight, BMI, temperature, and neutrophil count are examples of variables that can have any value between a theoretical minimum and maximum.
Is age categorical or continuous?
Technically speaking, age is a continuous variable since it may take on any value with any number of decimal places, regardless of how many decimal places are present.
Is dice roll categorical?
For example, a dice roll with six possible outcomes (numbered 1, 2, 3, 4, 5, and 6) is a categorical distribution.
Is ordinal data continuous?
In certain circumstances, the data is measured on an ordinal scale, but the variable is interpreted as if it were continuous in nature. Ordinal scales, such as a Likert scale with five values – strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree – are defined as follows: strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree
Is BPM discrete or continuous?
Variables such as heart rate, platelet count, and respiration rate are actually discrete variables, but they are treated as continuous due to the enormous number of potential values for these variables.
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