Lecture delivered by

At the end of the course units students should be able to

i. Use statistics as a tool to collect, analyze and interpret data related to library and information science   

ii.  Apply statistical techniques to specify behavioral and library situations.

Course Content: (Main topics, Sub topics)

Introduction to Statistics, Descriptive Statistics, Probability and Probability Distributions, Introduction to inference, Sampling, Sampling distributions, Estimation, Testing Hypothesis. Relationship between variables – Simple linear regression and correlation, multiple linear regression and correlation.       

Teaching /Learning Activities: 

Lectures/ Tutorials/ Presentations/ Practical sessions/ Creative activities

Assessment Strategy:

Continuous Assessment

50%

Final Assessment

50%

Details:

Quizzes 10%, Assignment 20%, Attendance

Individual Assignment

Class Test 10%

Quiz

Theory

60%

Practical

NA

Other
 (specify)

NA

60

Recommended Reading:

• Anderson, D. R. (2004), Essential of Modern Business Statistics with Microsoft Excel, South Western College Publishing, Ohio.
• Beri, G. C. (2007), Business Statistics, 2^nd Ed., Tata McGraw- Hill, New Delhi.
• Keller, G. (2005), Statistics for Management and Economics, 7^th Ed. South Western Educational Publishing, Ohio.
• Moore, D. (2003), The Practice of Business Statistics: Using Data for Decisions, H. Free Man & Company, Gordonsville.
• Panda, B. D. (1997), Research Methodology for Library and Information Science, Anmol Publications, New Delhi.
• Triola, M. F.  (2007), Elementary Statistics, 10^th Ed. Wesley Publishers, London.                                     
• William, R. (2007), Introduction to Probability and Statistics, 12^th Ed. Tata McGraw-Hill, New Delhi.