School of Human Resource Management

Diploma in Human Resource Management Home Semester & Subjects Calendar & Timetable Video Seminars Other Subjects 1. DHR101 Organisational Behaviour 2. DHR102 Microeconomics 3. DHR103 Business Mathematics 4. DHR104 Introduction to Information Technology 5. DHR105 Introduction to Accounting 6. DHR106 Fundamentals of Management 7. DHR107 English for Academic Purposes 8. MPW1133 Malaysia Studies 9. DHR108 Human Resource Principles 10. DHR109 Macroeconomics 11. DHR110 Malaysia Labour Laws 12. DHR111 Fundamentals of Marketing 13. DHR112 Introduction to Psychology 14. DHR201 Introduction to Human Resource Information Systems 15. DHR202 Public Relations and Communications 16. DHR203 Introduction to Statistics 17. DHR204 Introduction to Finance 18. MPW1143/MPW1153 Moral/Islamic Studies 19. DHR205 Human Resource Planning 20. DHR206 Compensation and Benefits 21. MPW1113/PPW1123 Bahasa Kebangsaan A/B 22. DHR207 Recruitment and Selection 23. DHR208 Performance Appraisal 24. DHR209 Occupational Safety and Health Act 25. DHR210 Human Resource Development 26. DHR211 Strategic Management 27. DHR301 International Human Resource Management 28. DHR302 Public Speaking 29. DHR303 Employment Relations 30. DHR304 Training and Development Programs Offered 1. Diploma in Human Resource Management » All stamfordonline Courses

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SUBJECT CODE	: DHR203
SUBJECT NAME	: INTRODUCTION TO STATISTICS
SEMESTER	: 7
CREDIT HOURS	: 3
SCHOOL	: School of Human Resource Management
COURSE	: Diploma / Diploma in Human Resource Management

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Lecture Notes :
Past Exam Paper :	DHR 203 Introduction to Statistics.pdf
Syllabus :	203.doc

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OBJECTIVES
To examine the candidateﾒs knowledge and understanding of:

• Statistical sources and techniques
• The nature and methods of data processing and his ability to apply these to practical business situations

LEARNING OUTCOME
At the end of the course, the students should be able to:

• distinguish statistical sources such as primary and secondary data;
• apply the basic concepts of statistics in practical business Situation.

SYNOPSIS

Discussion on various statistical models relating to business applications.