Metric data is all data that can be measured on a scale and can take on any number on this scale. A typical example would be a ruler. Categorical data (ordinal or nominal) are data which can only ever fall into certain categories. A typical example would be age groups.
The basics Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status. Qualitative variables are also called categorical variables.
There are two types of variables-independent and dependent. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age.
The short answer: Age is a quantitative variable because it represents a measurable quantity.
For example, someone's age might be an independent variable. For example, a test score could be a dependent variable because it could change depending on several factors such as how much you studied, how much sleep you got the night before you took the test, or even how hungry you were when you took it.
Age can be both nominal and ordinal data depending on the question types. I.e "How old are you" is used to collect nominal data while "Are you the firstborn or What position are you in your family" is used to collect ordinal data. Age becomes ordinal data when there's some sort of order to it.
There are two types of variables-independent and dependent. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age.
There are two types of variables-independent and dependent. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age.
We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous. However, in everyday appliances, all values under 6 years and above 5 years are called 5 years old. So we use age usually as a discrete variable.
It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age.
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