Statistics, Theory and Applications

Course objectives:

After completion of this course, participants are expected to have the required knowledge, skills, and/or business applications of the following:

1. Understanding the basics of data analysis.
2. Review of concepts of probabilities.
3. The value of inferential statistics.
4. Quality control aspects.

Target Audience:

This course is intended for practitioners where their job is involved in analyzing data or statistical analysis.

Course outlines:

The course outlines for Statistics, Theory and Applications:

1. Introduction to Data Analysis.
2. Descriptive statistics.
3. Graphical representation of the data.
4. Introduction to probabilities.
5. Sampling techniques.
6. Introduction to inferential statistics.
7. Parametric statistical tests:
1. Paired t test.
2. Independent t test.
3. ANOVA
8. Non-parametric statistical tests:
1. Wilcoxon matched paired test.
2. Mann-Whitney U test.
3. Kruskal Wallis test.
9. Correlation & Regression.
10. Risk statistics.
11. Quality control charts.

Teaching method:

The course will be delivered in interaction format between instructor(s) and trainees. The course will use the following materials:

1. PowerPoint presentations.
2. Video Clips.
3. Case Studies.