Course Description

Provides a comprehensive coverage for inferential statistics that are needed for analyzing business data. Topics include confidence intervals, hypothesis testing, correlation, simple and multiple linear regression.

Course Learning Objectives (CLOs)
  • Understand sampling and sampling distributions
  • Interpret confidence intervals
  • Perform hypothesis testing
  • Perform statistical inference based on two samples
  • Understand experimental design
  • Apply multiple regression analysis to solve business problems
Syllabus History
  • !

    Needs Validation

    Submitted by: SAMIR.SHAARAWY

  • Compliant

    Submitted by: SAMIR.SHAARAWY

    Validated by: SAMIR.SHAARAWY

  • !

    Needs Validation

    Submitted by: SAMIR.SHAARAWY

  • Compliant

    Submitted by: SAMIR.SHAARAWY

    Validated by: SAMIR.SHAARAWY

  • !

    Needs Improvement

    Missing:

    • Course Description
    • Course Learning Objectives (CLOs)
    • Program Learning Goals (PLGs)
    • Mapping of CLOs to PLGs

    Submitted by: moh.meed

    Validated by: sara.ghasem

  • Compliant Updated

    Submitted by: SAMIR.SHAARAWY

    Validated by: mo.almarzouq