Statistical Analyses

Analysis of the frequency of number appearance in random sequences, demonstrating uniform distribution concepts.

Mathematical calculations of probabilities in different scenarios, based on combinatorics principles.

Study of temporal patterns and identification of trends in random numerical sequences.

Analysis of correlations between different variables and identification of statistical patterns.

Fundamental concepts of mean, median, and mode, and how they describe the center of a data distribution.

Variance, standard deviation and other measures that quantify the variability and dispersion of data.

Fundamentals of statistical tests to validate hypotheses and make decisions based on evidence from data.

How to calculate and interpret confidence intervals to estimate population parameters with a given level of certainty.

Statistical methods that do not assume specific distributions, useful for data that does not follow normal distributions.

How to select representative samples and determine the ideal sample size for statistical analyses.

Technique for comparing means of multiple groups and identifying statistically significant differences between them.

How to validate and evaluate the quality of statistical models, checking assumptions and measuring performance.