Pearson correlation

Pearson correlation

Bachelor of Business Studies (BBS) — First Year

Subject: Business Statistics (MGT 202)

Unit 6: Simple Correlation and Regression Analysis

Academic Year: 2083/84

Topic Objectives

After studying this topic, students should be able to:

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

Curriculum Scope

• Karl Pearson's coefficient, including bivariate frequency distributions

Detailed Microsyllabus

1. Pearson correlation

   1. Paired quantitative observations and linear association.
   2. Calculation of the correlation coefficient.
   3. Treatment of bivariate frequency data.

2. Interpretation and checks

   1. Direction and strength of linear association.
   2. Range of the coefficient and sensitivity to outliers.
   3. Distinguish correlation from causation.

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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.