Statistics is the science of collecting, analyzing, interpreting, and presenting data. It is broadly divided into descriptive statistics, which summarizes data using measures like mean, median, and standard deviation, and inferential statistics, which draws conclusions about a population based on sample data through methods such as hypothesis testing and confidence intervals. Key concepts include types of data (categorical vs. numerical), probability and distributions (e.g., normal, binomial), sampling methods, correlation and regression analysis, and the Central Limit Theorem. Tools like t-tests, chi-square tests, and ANOVA are used to test hypotheses and analyze variability across data sets. Statistics is fundamental in research, decision-making, and understanding real-world phenomena through data.
Objectives:
- To introduce fundamental concepts and methods of statistics.
- To develop the ability to collect, organize, and summarize data effectively.
- To build skills in applying probability theory to statistical inference.
- To enable critical interpretation and communication of statistical results.
- To provide hands-on experience using statistical tools and software.
Learning Outcomes:
- Distinguish between different types of data and scales of measurement.
- Compute and interpret descriptive statistics (mean, median, variance, etc.).
- Construct and analyze graphical representations of data (histograms, boxplots, etc.).
- Apply probability rules and distributions to real-world problems.
- Use sampling methods and understand the Central Limit Theorem.
Class Activities:
- Forum
- Image Checkin
- Class Chat
- Given Individual Assignment
Assessment Methods:
- Continuous Assement Test
- Mid Term Exam
- Final Exam
Academic Year 2025-2026
Course Code: BLTH
Credits: 10
Period: 4 Months
Pre-requisite: None
Level: 7
Lecturer: Dr. Denys UWIMPUHWE
- Teacher: content creator