employee address
The scale of measurement that can be either numeric or nonnumeric is the nominal scale. This scale classifies data into distinct categories without any quantitative value or order, such as gender, colors, or types of animals. While nominal data can be represented by numbers (e.g., assigning "1" for male and "2" for female), these numbers do not have inherent numerical significance. Therefore, nominal scales can include both numeric labels and nonnumeric categories.
In the appropriate context, anything can be an example of data so there is no non-example.
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
An example of quantitative data would be the number of people born in 1 hour.
exclusive method of data classification with example?
The scale of measurement that can be either numeric or nonnumeric is the nominal scale. This scale classifies data into distinct categories without any quantitative value or order, such as gender, colors, or types of animals. While nominal data can be represented by numbers (e.g., assigning "1" for male and "2" for female), these numbers do not have inherent numerical significance. Therefore, nominal scales can include both numeric labels and nonnumeric categories.
column labels
False.
In the appropriate context, anything can be an example of data so there is no non-example.
Sending an email is an example of data communication
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
Mineral data
Michael J. Sackin has written: 'ALGOL program for cross-association of nonnumeric sequences using a medium-size computer'
An example of quantitative data would be the number of people born in 1 hour.
exclusive method of data classification with example?
Non-example of bivariate data in numbers is that with numbers that have no relationship between them.
what are the different user define data types explain with example