Data classification

Data classification

Bachelor of Business Studies (BBS) — First Year

Subject: Business Statistics (MGT 202)

Unit 2: Classification and Presentation of Data

Academic Year: 2083/84

Topic Objectives

After studying this topic, students should be able to:

• Explain the scope and key elements of data classification.
• Select suitable statistical procedures, carry out calculations and interpret business results.

Curriculum Scope

• Meaning, need, objectives and types

Detailed Microsyllabus

1. Classification foundations

   1. Meaning, need and objectives of classification.
   2. Grouping data to reveal relevant characteristics.
   3. Qualitative, quantitative, chronological and geographical classification.

2. Classification practice

   1. Select categories suited to the analysis.
   2. Use mutually distinguishable and sufficiently complete classes.
   3. Avoid classifications that conceal important business differences.

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Curriculum reference: Tribhuvan University, Faculty of Management, BBS curriculum with first-year syllabus, PDF pages 14-16.

Source note: The curriculum scope above is retained from the existing TU syllabus breakdown. The numbered study subtopics are editorial elaborations for teaching and study, rather than a separately issued TU syllabus. Unit lecture hours apply to the whole unit; no separate topic hours or marks are assigned here.