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There are four types of measurement scales used in statistics: nominal, ordinal, interval and ratio. Each scale has different properties and uses. 1. NominalA nominal scale is category labels. The category labels are not ordered, so it doesn't matter which number comes first. For example, the following list has three items on a nominal scale: 1. Apple 2. Orange 3. Banana These three items are three categories of fruits. There is no order in this list. For example, you can not say that Banana is greater than Apple or Orange. 2. OrdinalA nominal scale doesn't tell us anything about the relationship between the different categories. However, in the ordinal scale of data, there is an order. However, the difference between them can not be quantified. For example, the following list has three ratings of a product on an ordinal scale: 1. Good 2. Better 3. Best These three items are categories, but they do have an order. However, we can not quantify the difference between the two values. The difference between Better and Good is not the same as the difference between Best and Better since these differences do not make any sense. Another example of ordinal data would be Uber ride rating on a scale of 1 start to 5 stars. 3. IntervalPreviously we talked about nominal and ordinal scales. Both of these scales had data in the form of categories. Interval and ratio scale of data in the form of numbers or we can say that these two are numeric scales. In the interval scale, we do have an order (just like ordinal data), and we can find the exact difference between the two values. The classic example of an interval scale is the temperature in degrees Celcius. We can clearly say that 50 degrees C is greater than 40 degrees C. That means there is an order. We can also say that the difference between 50 and 40 degrees C is the same as the difference between 70 and 60 degrees C. The only limitation of the interval scale is that there is no absolute or true zero. For example, 0 degrees C does not mean there is "no temperature." 4. RatioThe ratio scale has all the features of the Interval scale, and in addition, there is an absolute or true zero as well. The examples of ratio scale include weight, height, volume etc. We know that 10 Kg is greater than 5 Kg. The difference in weight between 10 Kg and 5 Kg is the same as the difference between 100 Kg and 95 Kg. Also, we do have an absolute zero here. A weight of 0 Kg means that there is no weight. Measurement of Central TendencyTo summary a set of data, we use various measurements of central tendencies, such as Mean, Mode and Median. Depending upon the measurement scales, you can use the most appropriate measure of central tendency.
What do you call a scale of measurement of which it is used to label or describe values?To summarise, nominal scales are used to label or describe values. Ordinal scales are used to provide information about the specific order of the data points, mostly seen in the use of satisfaction surveys. The interval scale is used to understand the order and differences between them.
What scale of measurement is used for labeling variables?Nominal Scale, also called the categorical variable scale, is defined as a scale used for labeling variables into distinct classifications and doesn't involve a quantitative value or order. This scale is the simplest of the four variable measurement scales.
What is a measuring scale called?A scale or balance is a device used to measure weight or mass. These are also known as mass scales, weight scales, mass balances, and weight balances.
Which type of scale are used for Labelling variables into categories?A nominal scale is the 1st level of measurement scale in which the numbers serve as “tags” or “labels” to classify or identify the objects. A nominal scale usually deals with the non-numeric variables or the numbers that do not have any value. A nominal scale variable is classified into two or more categories.
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What do you call a scale of measurement of which it is used to label or described values?
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