Research Methodology And Applied Statistic (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: 1) Describe the basic concepts of research; Choose appropriate sampling design and data collection methods; Construct questionnaire, measurement, scaling, and research report; Apply quantitative data analysis. 2) Estimate the parameters of distribution; Explain the risks in decisions based on sample data concerning long term performance; Use proper statistical techniques for statistical decision making; Use statistical software to conduct analyses and interpret output; Draw the statistical conclusions from experiments and observations.

Topics:

1. Introduction to Research Methodolgy
2. The Research Process
3. Measurement of Variables
4. Measurement: Scaling, Reliability, Validity
5. Data Collection Methods
6. Experimental Designs
7. Sampling
8. Quantitative Data Analysis
9. The Research Report
10. Comparing two populations mean
11. Discrete data analysis
12. The analysis of variance
13. Simple linear regression and correlation
14. Multiple linear regression and non linear regression
15. Multifactor experimental design and analysis
16. Non parametric statistical analysis
17. Quality control methods
18. Reliability analysis and life testing