Level of Measurement What is the level of

Rolando Wade

Rolando Wade

Answered question

2022-03-22

Level of Measurement What is the level of measurement of these data (nominal, ordinal, interval, ratio)? Are the original unrounded arrival times continuous data or discrete data?
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Answer & Explanation

Cindy Reynolds

Cindy Reynolds

Beginner2022-03-23Added 7 answers

Given info:
The data shows that, the arrival delay times of randomly selected American Airlines flights that departed from JFK in New York bound for LAX in Los Angeles.
Four types of measurement levels:
1. Nominal level: It consists of only categories in which the data cannot be arranged in a specific order. This level of measurement used for giving names, classifying, or categorizing of items without following natural ordering.
2. Ordinal level: It consists of only categories in which the data can be arranged in a specific order. This level of measurement used for giving names, classifying, or categorizing of items with following natural ordering.
3. Interval level: It consists of ordered values and also contains an additional property of having equal distances or intervals between scores. It does not contains the absolute zero point. In this level of measurement, the differences of the numbers are meaningful.
4. Ratio level: It also consists of ordered values and equal distances or intervals between scores with the additional property that it contains absolute zero point in the values or scores. In this level of measurement, the ratio of the number is meaningful.
The arrival delay times have absolute zeros and the ratio of times is meaningful. Thus, the level of measurement used is ratio.
Discrete data: When the variable can take only countable (or integers) values, it is termed as discrete data. In discrete data, the number of values considered would be finite and are quantitative values.
Continuous data: When the variable cannot take countable (or integers) values, it is termed as continuous data. In continuous data, the infinitely many number of values can be considered.
Here, the variable is ‘arrival delay times’ of the randomly selected American Airlines flights. The arrival delay times can be measured on the interval or continuous scales. Also, there exist infinitely many values between any two lengths of times. Thus, the given variable represents continuous data.

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