- Is annual income continuous or discrete?
- Is BMI nominal or ordinal?
- Is name nominal or ordinal?
- How do you know if its nominal ordinal interval or ratio?
- What kind of variable is height?
- Is age continuous or categorical?
- Is salary continuous or discrete?
- Is age an interval variable?
- What type of variable is age?
- Is age discrete or continuous?
- Is weight an interval or ratio?
- Is age nominal or ordinal or interval?
- Is gender nominal ordinal interval or ratio?
- How do you know if its discrete or continuous?
Is annual income continuous or discrete?
Continuous: Height, weight, annual income.
Discrete: Number of children, number of students in a class.
Continuous data (like height) can (in theory) be measured to any degree of accuracy..
Is BMI nominal or ordinal?
A common example is to provide information about an individual’s Body Mass Index by stating whether the individual is underweight, normal, overweight, or obese. This categorized BMI is an example of an ordinal categorical variable.
Is name nominal or ordinal?
In summary, nominal variables are used to “name,” or label a series of values. Ordinal scales provide good information about the order of choices, such as in a customer satisfaction survey. Interval scales give us the order of values + the ability to quantify the difference between each one.
How do you know if its nominal ordinal interval or ratio?
Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.
What kind of variable is height?
A variable that is “a number”. Age, height, score on an exam, response on a Likert scale on a survey are all continuous variable. It can be ordinal, interval or ratio types. Examples of continuous variables are blood pressure, height, weight, income, and age.
Is age continuous or categorical?
Continuous variables are measured numerically, and have an infinite number of possible values. For example, an age variable measured continuously could have a value of 23.487 years old—if you wanted to get that specific!
Is salary continuous or discrete?
Strictly speaking, it is a discrete variable, given that there is a basic unit of 1p below which measurements cannot be taken. However, 1p is so small in relation to an annual salary (even the annual salary of a teacher) that in practice it is treated like a continuous variable.
Is age an interval variable?
A variable is something that varies, meaning that it can take on a number of values. … Interval-level variables are continuous, meaning that each value of the variable is one increment larger than the previous and one smaller than the next value. Age, if measured in years, is a good example; each increment is one year.
What type of variable is age?
Mondal suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds.
Is age discrete or continuous?
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.
Is weight an interval or ratio?
When working with ratio variables, but not interval variables, the ratio of two measurements has a meaningful interpretation. For example, because weight is a ratio variable, a weight of 4 grams is twice as heavy as a weight of 2 grams.
Is age nominal or ordinal or interval?
Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn’t have data on your respondent’s individual ages – you’d only know how many were between 18-24, 25-34, etc.
Is gender nominal ordinal interval or ratio?
There are four basic levels: nominal, ordinal, interval, and ratio. A variable measured on a “nominal” scale is a variable that does not really have any evaluative distinction. One value is really not any greater than another. A good example of a nominal variable is sex (or gender).
How do you know if its discrete or continuous?
A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon.