- What is STA 111 at the University of Uyo?
- STA 111 (Descriptive Statistics) is a 3-unit, 100 Level course taught in the First Semester at the University of Uyo, Akwa Ibom State, Nigeria. It is a foundation course taken by undergraduates across the university's programmes, not one department's course. The language of data: types, sources, and methods of data collection; presentation, errors and approximations; and the core measures used to summarise a dataset. A foundation for every analysis task in research and data-driven decision-making.
- Which programmes take STA 111?
- STA 111 is a foundation course taken by undergraduates across University of Uyo programmes — it belongs to the university, not to one department. Whatever your department, Areté covers it with the same outline, textbooks and study tips.
- What topics are covered in STA 111?
- The STA 111 outline covers 8 topics: Statistical data: types, sources and methods of collection; Presentation of data: tables, charts and graphs; Errors and approximations; Frequency and cumulative distributions; Measures of location: mean, median, mode; Measures of partition and dispersion: range, variance, standard deviation; Skewness and kurtosis; Rates, ratios and index numbers.
- What textbooks are recommended for STA 111?
- Recommended reading for STA 111: Statistics for Management and Economics by Gerald Keller; Introductory Statistics by Neil A. Weiss.
- How do I pass STA 111?
- StatQuest with Josh Starmer on YouTube makes every stats concept intuitive — start there Always choose the right measure of central tendency: mean for symmetric data, median for skewed data Practice calculating variance and standard deviation by hand at least 5 times before the exam Draw histograms and box plots manually — you see patterns that summary numbers hide
- Where can I find STA 111 lecture notes and past questions?
- Areté (https://www.aretecyb.tech/courses/sta-111) carries 2 recommended textbooks for STA 111, plus an AI tutor that has read the outline. It is free for University of Uyo students — sign in with your email, no password.