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Table of Contents:
- Is weight an equal interval variable?
- Is age an ordinal variable?
- What type of variable is height statistics?
- What level of data is height?
- What is level of measurement of a variable?
Is weight an equal interval variable?
Most physical measures, such as height, weight, systolic blood pressure, distance etc., are interval or ratio scales, so they fall into the general "continuous " category. Therefore, normal theory type statistics are also used when a such a measure serves as the dependent variable in an analysis.
Is age an ordinal variable?
Age can be both nominal and ordinal data depending on the question types. I.e "How old are you" is a used to collect nominal data while "Are you the first born 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.
What type of variable is height statistics?
Continuous variables For example, the height of a student is a continuous variable because a student may be 1.
What level of data is height?
Quantitative data is numerical. It's used to define information that can be counted. Some examples of quantitative data include distance, speed, height, length and weight. It's easy to remember the difference between qualitative and quantitative data, as one refers to qualities, and the other refers to quantities.
What is level of measurement of a variable?
The level of measurement refers to the relationship among the values that are assigned to the attributes for a variable. ... The level of measurement describes the relationship among these three values. In this case, we simply are using the numbers as shorter placeholders for the lengthier text terms.
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