Section outline

  • At the end of this course, the learner will be able to:

    • Define fundamental statistical concepts such as population, individual, variable, modality, frequency, and probability.

    • Distinguish between qualitative and quantitative variables (discrete and continuous).

    • Classify statistical data according to their type.

    • Construct statistical tables including absolute, relative, and cumulative frequencies.

    • Represent data graphically using bar charts, pie charts, histograms, frequency polygons, and distribution functions.

    • Calculate measures of central tendency (mean, median, mode, quartiles).

    • Compute measures of dispersion (range, variance, standard deviation, coefficient of variation).

    • Interpret statistical indicators in practical contexts.

    • Apply combinatorial techniques (arrangements, permutations, combinations) to counting problems.

    • Solve basic probability problems using axiomatic definitions and Bayes’ theorem.

    • Analyze statistical data to support decision-making.