Tabulation involves organising raw data into tables that display frequencies, percentages or other summaries in rows and columns. This structured arrangement makes patterns clearer and facilitates subsequent statistical analysis. It is a key step between initial data collection and interpretation of results. Therefore, arranging data into rows and columns is correctly termed tabulation.
Option A:
Coding refers to assigning numerical or symbolic codes to responses for easier handling and analysis, often done before tabulation. While related, it is not the same as arranging data into tables.
Option B:
Tabulation transforms disconnected pieces of data into an organised format where comparisons among categories or groups can be quickly made. It is fundamental for preparing charts, graphs and statistical tests, matching the process described in the stem and making this option correct.
Option C:
Sampling concerns the selection of units from a population and occurs before data are collected, not at the stage of arranging data. Thus, it does not fit the question.
Option D:
Scaling involves designing and applying measurement scales to quantify attitudes or traits, which is different from arranging data into tables after collection.
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