Test: Organisation of Data - 1 - Commerce MCQ

Spatial dependence is measured as the existence of statistical dependence in a collection of random variables, each of which is associated with a different geographical location.

When the raw data is presented individually in the form of a series, it is called an individual series.

In simple words, individual series is the arrangement of raw data individually. It gives numeric values for a specific situation.

In an individual series items are shown separately. So organisation on the basis of magnitude is individual series.

Difference between upper and lower class limit is called class interval.

For example, 0-10, 10-20, 20-30 etc.

In quantitative classification data is classified according to some characteristics that are capable of direct measurement such as weight, height, income, marks etc.

Heights and weights of individuals are variables as they can be measured in numerical terms. Thus, variables are used when changing characterstics are numerically measured.

Classification is the process of arranging things (either actually or notionally) in the groups according to their resemblances and affinities and gives expression to the unity of attributes that may subsist amongst a diversity of individuals.

In manifold classification, two or more attributes are considered simultaneously. When more attributes are involved, the data would be classified into several classes and subclasses depending on the number of attributes.
For example, the population in a country can be classified in terms of gender as male and female.

The correct option is Option C

Classification is concerned with the division of the data into various groups and sub groups.

► Data is classified into groups of different headings.

After grouping of collected data according to their identity or similarity, it becomes easy to compare the features of different groups.

Classification is the process of arranging data into different groups or classes.

► Classification of data is done after collection of data.