STA 1113 units100 LevelFirst Semester

Descriptive Statistics

B.Sc. Cybersecurity, University of Uyo

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.

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Course outline

  1. 01Statistical data: types, sources and methods of collection
  2. 02Presentation of data: tables, charts and graphs
  3. 03Errors and approximations
  4. 04Frequency and cumulative distributions
  5. 05Measures of location: mean, median, mode
  6. 06Measures of partition and dispersion: range, variance, standard deviation
  7. 07Skewness and kurtosis
  8. 08Rates, ratios and index numbers

Recommended textbooks

  • Statistics for Management and Economics — Gerald Keller

    11th ed. — very practical with real-world examples

  • Introductory Statistics — Neil A. Weiss

    10th ed. — clear exposition, good for self-study

How to 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

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