CHESEWEW TTI

Course Summary

Statistical Methods is a course designed to equip learners with the knowledge and skills required to collect, organize, analyze, interpret, and present data for effective decision-making. The course introduces fundamental statistical concepts and techniques used in research, business, education, health, and other fields. Learners will develop competence in describing data, data collection, conducting statistical analyses, and interpreting results using appropriate statistical tools. The course emphasizes practical applications of statistics in solving real-world problems and making evidence-based decisions.

Learning Outcomes

By the end of the course, learners should be able to:

1. Collect, organize, and present data using appropriate statistical techniques.
2. Calculate and interpret measures of central tendency and dispersion.
3. Analyze relationships between variables using correlation and regression techniques.
4. Conduct hypothesis testing and draw valid conclusions from data.

Course Topics

By the end of the course, the trainee should be able to:

1. Collect and present statistical data.
2. Calculate measures of central tendency.
3. Apply appropriate sampling techniques.
4. Analyze correlation and regression results.
5. Conduct statistical hypothesis testing.

Interactive Activities

1. Collect and organize real-life data from a selected field and present it using tables and graphs.
2. Solve practical problems involving mean, median, mode, variance, and standard deviation.
3. Participate in group discussions on the application of probability in everyday situations.
4. Conduct a mini-survey and analyze the collected data using statistical methods.
5. Use statistical software (e.g., Excel, SPSS, or R) to perform data analysis and generate reports.
6. Interpret case studies and research findings using appropriate statistical techniques.
7. Present group projects based on statistical investigations and findings.