Question

. Differentiate between metric and non-metric scale of measurement by giving suitable examples. Give examples of statistical tools where the two types of data (metric and non-metric) are used.

Answer 1

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The Metric and Nonmetric scales come under the quantitative data. where these two categories are broadly divided further. Metric includes those variables which have different types of attributes and Nonmetric includes those variables which are mutually exclusive.

Difference between Metric and nonmetric is -

Metric scale measures the Quantitative variables or characteristics. It includes or we can say summarizes the Internal scale, absolute scales as well as Ratio scales.

An example of a Metric scale can be a number of clients or sales.

The nonmetrictric scale of measurement is When it measures or when the data is collected from the ordinal scales, nominal scale and also it does not possess any meter.

Examples of nonmetric scale can be Gender or nationality etc.

Here is the example of statistical tools where the two types of data metric and nonmetric are used.

In the Uni-variate analysis metric scale uses Mean, Standard deviation, t-test and nonmetric scale use to count, frequency, etc and in Bi-variate analysis, if the variables are both independent and dependent then metric uses Regression family and for nonmetric, a Hypothesis test is used.

If the dependent variable and independent variables are no metrics then cross Tab, chi- square test is applied.

For instance, if we need to find the relationship between social media according to hours and the grade or marks of the students then R square tool will be used as dependent variables are Grades and Independent variable is people using Social media according to hours and because both the variables are metric hence Regression test will be applied.